rankdist: Distance Based Ranking Models

Implements distance based probability models for ranking data. The supported distance metrics include Kendall distance, Spearman distance, Footrule distance, Hamming distance, , Weighted-tau distance and Weighted Kendall distance. Phi-component model and mixture models are also supported.

Author
Zhaozhi Qian
Date of publication
2015-09-27 17:09:57
Maintainer
Zhaozhi Qian <qianzhaozhi@connect.hku.hk>
License
GPL (>= 2)
Version
1.1.2

View on CRAN

Man pages

apa_obj
American Psychological Association (APA) election data
apa_partial_obj
American Psychological Association (APA) election data...
DistanceBlock
Calculate Kendall distance between one ranking and a matrix...
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
RankControlCayley-class
RankControlCayley Class
RankControl-class
RankControl Class
RankControlFootrule-class
RankControlFootrule Class
RankControlHamming-class
RankControlHamming Class
RankControlKendall-class
RankControlKendall Class
RankControlPhiComponent-class
RankControlPhiComponent Class
RankControlSpearman-class
RankControlSpearman Class
RankControlWeightedKendall-class
RankControlWeightedKendall Class
RankControlWtau-class
RankControlWtau Class
RankData-class
RankData Class
RankDistanceModel
Fit A Mixture of Distance-based Models
rankdist-package
A package for fitting distance based ranking models
RankInit-class
RankInit Class
RanktoHash
Create Hash Value for Ranking

Files in this package

rankdist
rankdist/tests
rankdist/tests/testthat.R
rankdist/tests/testthat
rankdist/tests/testthat/test_RankData.R
rankdist/tests/testthat/test_breaktie.R
rankdist/tests/testthat/test_FindV.R
rankdist/tests/testthat/test_FindCayley.R
rankdist/tests/testthat/test_CayleyNeighbour.R
rankdist/tests/testthat/test_KendallNeighbour.R
rankdist/tests/testthat/KendallNeighbour.rds
rankdist/tests/testthat/CayleyNeighbour.rds
rankdist/tests/testthat/test_faiw.R
rankdist/tests/testthat/test_LogC_Component.R
rankdist/tests/testthat/test_LogC.R
rankdist/tests/testthat/test_rankhash.R
rankdist/src
rankdist/src/utils.cpp
rankdist/src/RcppExports.cpp
rankdist/NAMESPACE
rankdist/data
rankdist/data/apa_obj.rda
rankdist/data/apa_partial_obj.rda
rankdist/R
rankdist/R/utils.R
rankdist/R/method.R
rankdist/R/RcppExports.R
rankdist/R/rankdist.R
rankdist/R/class.R
rankdist/MD5
rankdist/DESCRIPTION
rankdist/man
rankdist/man/DistanceMatrix.Rd
rankdist/man/GenerateExampleTopQ.Rd
rankdist/man/rankdist-package.Rd
rankdist/man/apa_obj.Rd
rankdist/man/RankControlKendall-class.Rd
rankdist/man/OrderingToRanking.Rd
rankdist/man/RankDistanceModel.Rd
rankdist/man/RankControlFootrule-class.Rd
rankdist/man/MomentsEst.Rd
rankdist/man/RankControlWeightedKendall-class.Rd
rankdist/man/RankInit-class.Rd
rankdist/man/RankControlCayley-class.Rd
rankdist/man/DistancePair.Rd
rankdist/man/RankControlHamming-class.Rd
rankdist/man/RankData-class.Rd
rankdist/man/RankControl-class.Rd
rankdist/man/RanktoHash.Rd
rankdist/man/RankControlWtau-class.Rd
rankdist/man/GenerateExample.Rd
rankdist/man/apa_partial_obj.Rd
rankdist/man/ModelSummary.Rd
rankdist/man/RankControlSpearman-class.Rd
rankdist/man/HashtoRank.Rd
rankdist/man/DistanceBlock.Rd
rankdist/man/RankControlPhiComponent-class.Rd