Distance Based Ranking Models

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Documentation for package ‘rankdist’ version 1.1.4

• DESCRIPTION file.

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rankdist-package	A package for fitting distance based ranking models
apa_obj	American Psychological Association (APA) election data
apa_partial_obj	American Psychological Association (APA) election data (partial rankings included)
DistanceBlock	Calculate Kendall distance between one ranking and a matrix of rankings
DistanceMatrix	Calculate Kendall distance matrix between rankings
DistancePair	Calculate Kendall distance between a pair of rankings
GenerateExample	Generate simple examples
GenerateExampleTopQ	Generate simple examples of top-q rankings
HashtoRank	Obtain Ranking from Hash Value
ModelSummary	Print a brief summary of the fitted model
MomentsEst	Find Initial Values of phi
OrderingToRanking	Transformation between Rankings and Orderings
RankControl	RankControl Class
RankControl-class	RankControl Class
RankControlCayley	RankControlCayley Class
RankControlCayley-class	RankControlCayley Class
RankControlFootrule	RankControlFootrule Class
RankControlFootrule-class	RankControlFootrule Class
RankControlHamming	RankControlHamming Class
RankControlHamming-class	RankControlHamming Class
RankControlKendall	RankControlKendall Class
RankControlKendall-class	RankControlKendall Class
RankControlPhiComponent	RankControlPhiComponent Class
RankControlPhiComponent-class	RankControlPhiComponent Class
RankControlSpearman	RankControlSpearman Class
RankControlSpearman-class	RankControlSpearman Class
RankControlWeightedKendall	RankControlWeightedKendall Class
RankControlWeightedKendall-class	RankControlWeightedKendall Class
RankControlWtau	RankControlWtau Class
RankControlWtau-class	RankControlWtau Class
RankData	RankData Class
RankData-class	RankData Class
rankdist	A package for fitting distance based ranking models
RankDistanceModel	Fit A Mixture of Distance-based Models
RankInit	RankInit Class
RankInit-class	RankInit Class
RanktoHash	Create Hash Value for Ranking