AllKendall              All Kendall's distances between two sets of
                        rankings.
AllSeqDists             Calculate all distances between a set of
                        sequences and a fixed sequence.
BestFit                 Fit Mallows model N times and select most
                        likely model. The EM algorithm to fit
                        Multi-Modal Mallows' models is prone to getting
                        stuck in local maxima, so we run it several
                        times and selec the best one.
C_lam                   Calculate the normalizing coefficient for
                        Mallow's model in a sequence space.
ConstructSeqs           Constructs sequences from Kendall Information
                        matricies.
DistanceDistribution    Calculate the Kendall distance distribution in
                        N! space.
EStep                   The Expectation step of the EM algorithm.
FormatOut               Formats the data in the "Solve" function for
                        output.
KendallInfo             All information used to calculate Kendall's
                        distance.
Lambda                  Objective function to determine lambda.
Likelihood              Likelihood of the data and parameters.
Mallows                 Fits a Multi-Modal Mallows' model to ranking
                        data.
NextTable               Calculates the table of Kendall distances in
                        (N+1)! space, given those in N! space.
RMallow-package         Fit Multi-modal Mallows' models to ranking
                        data.
Rgen                    Initialize sequence modes for the clustering
                        process.
SeqDistribution         Calculates distances in N! space.
SimplifySequences       Change the form of ordered sequences.
UpdateLambda            Update the Lambda parameters of clusters.
UpdateP                 Update Proportion in each cluster.
UpdateR                 Update modal sequences in each cluster.
datas                   Sample data set.
elect                   1980 APA Presidential Candidate ranking data.
hello                   Hello, World!
three.mode              Fitted version of the toy datas data set, with
                        three modal sequences.
two.mode                Two-mode Mallows' model fit to toy data set
                        "datas"
two.seq                 Bi-modal Mallow's model fit to the APA data
                        set.
