Statistical Rank Aggregation: Inference, Evaluation, and Visualization

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Documentation for package ‘StatRank’ version 0.0.6

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Breaking Breaks full or partial orderings into pairwise comparisons
convert.vector.to.list Helper function for the graphing interface
Data.Election1 A1 Election Data
Data.Election6 A6 Election Data
Data.Election9 A9 Election Data
Data.Nascar Nascar Data
Data.NascarTrimmed Trimmed Nascar Data
Data.Test Tiny test dataset
Estimation.GRUM.MLE Performs parameter estimation for a Generalized Random Utility Model with user and alternative characteristics
Estimation.Normal.GMM GMM Method for Estimating Random Utility Model wih Normal dsitributions
Estimation.PL.GMM GMM Method for estimating Plackett-Luce model parameters
Estimation.PL.MLE Performs parameter estimation for the Plackett-Luce model using an Minorize Maximize algorithm
Estimation.RUM.MLE Performs parameter estimation for a Random Utility Model with different noise distributions
Estimation.RUM.MultiType.MLE Performs parameter estimation for a Multitype Random Utility Model
Estimation.RUM.Nonparametric Nonparametric RUM Estimator
Estimation.Zemel.MLE Estimates Zemel Parameters via Gradient Descent
Evaluation.AveragePrecision Calculates the Average Precision
Evaluation.KendallTau Calculates the Kendall Tau correlation between two ranks
Evaluation.KL Calculates KL divergence between empirical pairwise preferences and modeled pairwise preferences
Evaluation.LocationofWinner Calculates the location of the True winner in the estimated ranking
Evaluation.MSE Calculates MSE between empirical pairwise preferences and modeled pairwise preferences
Evaluation.NDCG Calculates the Normalized Discounted Cumluative Gain
Evaluation.Precision.at.k Calculates the Average Precision at k
Evaluation.TVD Calculates TVD between empirical pairwise preferences and modeled pairwise preferences
Expo.MultiType.Pairwise.Prob Pairwise Probability for PL Multitype Model
Generate.NPRUM.Data Generate data from an NPRUM model
Generate.RUM.Data Generate observation of ranks given parameters
Generate.RUM.Parameters Parameter Generation for a RUM model
Generate.Zemel.Parameters Generates possible scores for a Zemel model
Generate.Zemel.Ranks.Pairs Generates pairwise ranks from a Zemel model given a set of scores
generateC Generate a matrix of pairwise wins
generateC.model Turns inference object into modeled C matrix.
generateC.model.Nonparametric Generate pairwise matrix for an NPRUM model
KL Calculates KL Divergence between non-diagonal entries of two matrices
Likelihood.Nonparametric Calculate Likelihood for the nonparametric model
Likelihood.PL A faster Likelihood for Plackett-Luce Model
Likelihood.RUM Likelihood for general Random Utility Models
Likelihood.RUM.Multitype Likelihood for Multitype Random Utility Models
Likelihood.Zemel Gives Zemel pairwise Log-likelihood with data and scores
MSE Calculates MSE between non-diagonal entries of two matrices if the diagonal elements are 0s
Normal.MultiType.Pairwise.Prob Pairwise Probability for Normal Multitype Model
Normal.Pairwise.Prob Pairwise Probability for Normal Model
PL.Pairwise.Prob Pairwise Probability for PL Model
scores.to.order Converts scores to a ranking
scramble Scramble a vector
turn_matrix_into_table Converts a matrix into a table
TVD Calculates TVD between two matrices
Visualization.Empirical RPD Visualization
Visualization.MultiType Multitype Random Utility visualizer
Visualization.Pairwise.Probabilities Creates pairwise matrices to compare inference results with the empirical pairwise probabilities
Visualization.RUMplots RUMplot visualization
Zemel.Pairwise.Prob Pairwise Probability for Zemel