R: Fit Multi-Modal Mallows' Models to Ranking Data

# Fit Multi-Modal Mallows' Models to Ranking Data

## Documentation for package ‘RMallow’ version 1.1

- DESCRIPTION file

## Help Pages

RMallow-package | Fit Multi-modal Mallows' models to ranking data.
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.
ConstructSeqs | Constructs sequences from Kendall Information matricies.
C_lam | Calculate the normalizing coefficient for Mallow's model in a sequence space.
datas | Sample data set.
DistanceDistribution | Calculate the Kendall distance distribution in N! space.
elect | 1980 APA Presidential Candidate ranking data.
EStep | The Expectation step of the EM algorithm.
FormatOut | Formats the data in the "Solve" function for output.
hello | Hello, World!
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.
Rgen | Initialize sequence modes for the clustering process.
RMallow | Fit Multi-modal Mallows' models to ranking data.
SeqDistribution | Calculates distances in N! space.
SimplifySequences | Change the form of ordered sequences.
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.
UpdateLambda | Update the Lambda parameters of clusters.
UpdateP | Update Proportion in each cluster.
UpdateR | Update modal sequences in each cluster.