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  "Type": "Package",
  "Title": "Statistical Rank Aggregation: Inference, Evaluation, and\nVisualization",
  "Version": "0.0.6",
  "Date": "2015-08-20",
  "Author": "Hossein Azari Soufiani, William Chen",
  "Maintainer": "Hossein Azari Soufiani <azari.hossein@gmail.com>",
  "Description": "A set of methods to implement Generalized Method of\nMoments and Maximal Likelihood methods for Random Utility\nModels. These methods are meant to provide inference on rank\ncomparison data. These methods accept full, partial, and\npairwise rankings, and provides methods to break down full or\npartial rankings into their pairwise components. Please see\nGeneralized Method-of-Moments for Rank Aggregation from NIPS\n2013 for a description of some of our methods.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-11 09:19:41 UTC",
    "User": "root"
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  "Repository": "https://hosseinazari.r-universe.dev",
  "Date/Publication": "2015-09-09 09:34:43 UTC",
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    "Evaluation.MSE",
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    "Generate.RUM.Parameters",
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    "Visualization.Pairwise.Probabilities",
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    "Zemel.Pairwise.Prob"
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      "title": "Breaks full or partial orderings into pairwise comparisons",
      "topics": [
        "Breaking"
      ]
    },
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      "page": "convert.vector.to.list",
      "title": "Helper function for the graphing interface",
      "topics": [
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    },
    {
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      "title": "A1 Election Data",
      "topics": [
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    },
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      "title": "A9 Election Data",
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      "title": "Nascar Data",
      "topics": [
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      ]
    },
    {
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      ]
    },
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      "title": "Performs parameter estimation for a Generalized Random Utility Model with user and alternative characteristics",
      "topics": [
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      ]
    },
    {
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      "title": "GMM Method for Estimating Random Utility Model wih Normal dsitributions",
      "topics": [
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      ]
    },
    {
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      "title": "GMM Method for estimating Plackett-Luce model parameters",
      "topics": [
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      ]
    },
    {
      "page": "Estimation.PL.MLE",
      "title": "Performs parameter estimation for the Plackett-Luce model using an Minorize Maximize algorithm",
      "topics": [
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      ]
    },
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      "topics": [
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      ]
    },
    {
      "page": "Estimation.RUM.MultiType.MLE",
      "title": "Performs parameter estimation for a Multitype Random Utility Model",
      "topics": [
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      ]
    },
    {
      "page": "Estimation.RUM.Nonparametric",
      "title": "Nonparametric RUM Estimator",
      "topics": [
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      ]
    },
    {
      "page": "Estimation.Zemel.MLE",
      "title": "Estimates Zemel Parameters via Gradient Descent",
      "topics": [
        "Estimation.Zemel.MLE"
      ]
    },
    {
      "page": "Evaluation.AveragePrecision",
      "title": "Calculates the Average Precision",
      "topics": [
        "Evaluation.AveragePrecision"
      ]
    },
    {
      "page": "Evaluation.KendallTau",
      "title": "Calculates the Kendall Tau correlation between two ranks",
      "topics": [
        "Evaluation.KendallTau"
      ]
    },
    {
      "page": "Evaluation.KL",
      "title": "Calculates KL divergence between empirical pairwise preferences and modeled pairwise preferences",
      "topics": [
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      ]
    },
    {
      "page": "Evaluation.LocationofWinner",
      "title": "Calculates the location of the True winner in the estimated ranking",
      "topics": [
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      ]
    },
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    },
    {
      "page": "Evaluation.NDCG",
      "title": "Calculates the Normalized Discounted Cumluative Gain",
      "topics": [
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      ]
    },
    {
      "page": "Evaluation.Precision.at.k",
      "title": "Calculates the Average Precision at k",
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      ]
    },
    {
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      "topics": [
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      "title": "Pairwise Probability for PL Multitype Model",
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    },
    {
      "page": "Generate.NPRUM.Data",
      "title": "Generate data from an NPRUM model",
      "topics": [
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    },
    {
      "page": "Generate.RUM.Data",
      "title": "Generate observation of ranks given parameters",
      "topics": [
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    {
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      "title": "Parameter Generation for a RUM model",
      "topics": [
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    },
    {
      "page": "Generate.Zemel.Parameters",
      "title": "Generates possible scores for a Zemel model",
      "topics": [
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      ]
    },
    {
      "page": "Generate.Zemel.Ranks.Pairs",
      "title": "Generates pairwise ranks from a Zemel model given a set of scores",
      "topics": [
        "Generate.Zemel.Ranks.Pairs"
      ]
    },
    {
      "page": "generateC",
      "title": "Generate a matrix of pairwise wins",
      "topics": [
        "generateC"
      ]
    },
    {
      "page": "generateC.model",
      "title": "Turns inference object into modeled C matrix.",
      "topics": [
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    },
    {
      "page": "generateC.model.Nonparametric",
      "title": "Generate pairwise matrix for an NPRUM model",
      "topics": [
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    },
    {
      "page": "KL",
      "title": "Calculates KL Divergence between non-diagonal entries of two matrices",
      "topics": [
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      ]
    },
    {
      "page": "Likelihood.Nonparametric",
      "title": "Calculate Likelihood for the nonparametric model",
      "topics": [
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      ]
    },
    {
      "page": "Likelihood.PL",
      "title": "A faster Likelihood for Plackett-Luce Model",
      "topics": [
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      ]
    },
    {
      "page": "Likelihood.RUM",
      "title": "Likelihood for general Random Utility Models",
      "topics": [
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      ]
    },
    {
      "page": "Likelihood.RUM.Multitype",
      "title": "Likelihood for Multitype Random Utility Models",
      "topics": [
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    },
    {
      "page": "Likelihood.Zemel",
      "title": "Gives Zemel pairwise Log-likelihood with data and scores",
      "topics": [
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    },
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      "page": "MSE",
      "title": "Calculates MSE between non-diagonal entries of two matrices if the diagonal elements are 0s",
      "topics": [
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    },
    {
      "page": "Normal.MultiType.Pairwise.Prob",
      "title": "Pairwise Probability for Normal Multitype Model",
      "topics": [
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      ]
    },
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      "page": "Normal.Pairwise.Prob",
      "title": "Pairwise Probability for Normal Model",
      "topics": [
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      ]
    },
    {
      "page": "PL.Pairwise.Prob",
      "title": "Pairwise Probability for PL Model",
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    },
    {
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      "title": "Converts scores to a ranking",
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    },
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      "page": "scramble",
      "title": "Scramble a vector",
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    },
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      "page": "turn_matrix_into_table",
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      "topics": [
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    },
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    },
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      "page": "Visualization.Empirical",
      "title": "RPD Visualization",
      "topics": [
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    {
      "page": "Visualization.MultiType",
      "title": "Multitype Random Utility visualizer",
      "topics": [
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    },
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      "title": "Creates pairwise matrices to compare inference results with the empirical pairwise probabilities",
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    {
      "page": "Zemel.Pairwise.Prob",
      "title": "Pairwise Probability for Zemel",
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