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RMallow (version 1.1)
Fit Multi-Modal Mallows' Models to Ranking Data
Description
An EM algorithm to fit Mallows' Models to full or partial rankings, with or without ties. Based on Adkins and Flinger (1998)
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Version
Version
1.1
1.0
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Install
install.packages('RMallow')
Monthly Downloads
173
Version
1.1
License
GPL (>= 2)
Maintainer
Erik Gregory
Last Published
February 7th, 2020
Functions in RMallow (1.1)
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Rgen
Initialize sequence modes for the clustering process.
RMallow-package
Fit Multi-modal Mallows' models to ranking data.
NextTable
Calculates the table of Kendall distances in (N+1)! space, given those in N! space.
hello
Hello, World!
SimplifySequences
Change the form of ordered sequences.
UpdateLambda
Update the Lambda parameters of clusters.
SeqDistribution
Calculates distances in N! space.
Likelihood
Likelihood of the data and parameters.
AllSeqDists
Calculate all distances between a set of sequences and a fixed sequence.
three.mode
Fitted version of the toy datas data set, with three modal sequences.
datas
Sample data set.
Mallows
Fits a Multi-Modal Mallows' model to ranking data.
UpdateR
Update modal sequences in each cluster.
two.seq
Bi-modal Mallow's model fit to the APA data set.
two.mode
Two-mode Mallows' model fit to toy data set "datas"
UpdateP
Update Proportion in each cluster.
elect
1980 APA Presidential Candidate ranking data.
ConstructSeqs
Constructs sequences from Kendall Information matricies.
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.
EStep
The Expectation step of the EM algorithm.
FormatOut
Formats the data in the "Solve" function for output.
DistanceDistribution
Calculate the Kendall distance distribution in N! space.
KendallInfo
All information used to calculate Kendall's distance.
C_lam
Calculate the normalizing coefficient for Mallow's model in a sequence space.
Lambda
Objective function to determine lambda.
AllKendall
All Kendall's distances between two sets of rankings.