Breaking                Breaks full or partial orderings into pairwise
                        comparisons
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.KL           Calculates KL divergence between empirical
                        pairwise preferences and modeled pairwise
                        preferences
Evaluation.KendallTau   Calculates the Kendall Tau correlation between
                        two ranks
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
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
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
convert.vector.to.list
                        Helper function for the graphing interface
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
scores.to.order         Converts scores to a ranking
scramble                Scramble a vector
turn_matrix_into_table
                        Converts a matrix into a table
