Distance Based Ranking Models

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Documentation for package ‘rankdist’ version 1.1.4

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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