rankdist: Distance Based Ranking Models
Version 1.1.2

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.

Browse man pages Browse package API and functions Browse package files

AuthorZhaozhi Qian
Date of publication2015-09-27 17:09:57
MaintainerZhaozhi Qian <qianzhaozhi@connect.hku.hk>
LicenseGPL (>= 2)
Version1.1.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rankdist")

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

Functions

AddInfo Source code
AllPerms Source code
BreakTieEqualProb Source code
CWeightGivenPi Source code
CayleyNeighbour Source code
DistanceBlock Man page Source code
DistanceMatrix Man page Source code
DistancePair Man page Source code
FindCayley Source code
FindV Source code
GHC Source code
GenerateExample Man page Source code
GenerateExampleTopQ Man page Source code
HashtoRank Man page Source code
KendallNeighbour Source code
KwDist Source code
LogC Source code
LogC_Component Source code
ModelSummary Man page Source code
MomentsEst Man page Source code
OrderingToRanking Man page Source code
RankControl Man page
RankControl-class Man page
RankControlCayley Man page
RankControlCayley-class Man page
RankControlFootrule Man page
RankControlFootrule-class Man page
RankControlHamming Man page
RankControlHamming-class Man page
RankControlKendall Man page
RankControlKendall-class Man page
RankControlPhiComponent Man page
RankControlPhiComponent-class Man page
RankControlSpearman Man page
RankControlSpearman-class Man page
RankControlWeightedKendall Man page
RankControlWeightedKendall-class Man page
RankControlWtau Man page
RankControlWtau-class Man page
RankData Man page
RankData-class Man page
RankDistanceModel Man page Source code
RankInit Man page
RankInit-class Man page
RanktoHash Man page Source code
SearchPi0 Source code
UpdateCount Source code
Wtau Source code
apa_obj Man page
apa_partial_obj Man page
cycle_decomp Source code
onUnload Source code
paramTow Source code
rankdist Man page
rankdist-package Man page
t.gen Source code
wToparam Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test_RankData.R
tests/testthat/test_breaktie.R
tests/testthat/test_FindV.R
tests/testthat/test_FindCayley.R
tests/testthat/test_CayleyNeighbour.R
tests/testthat/test_KendallNeighbour.R
tests/testthat/KendallNeighbour.rds
tests/testthat/CayleyNeighbour.rds
tests/testthat/test_faiw.R
tests/testthat/test_LogC_Component.R
tests/testthat/test_LogC.R
tests/testthat/test_rankhash.R
src
src/utils.cpp
src/RcppExports.cpp
NAMESPACE
data
data/apa_obj.rda
data/apa_partial_obj.rda
R
R/utils.R
R/method.R
R/RcppExports.R
R/rankdist.R
R/class.R
MD5
DESCRIPTION
man
man/DistanceMatrix.Rd
man/GenerateExampleTopQ.Rd
man/rankdist-package.Rd
man/apa_obj.Rd
man/RankControlKendall-class.Rd
man/OrderingToRanking.Rd
man/RankDistanceModel.Rd
man/RankControlFootrule-class.Rd
man/MomentsEst.Rd
man/RankControlWeightedKendall-class.Rd
man/RankInit-class.Rd
man/RankControlCayley-class.Rd
man/DistancePair.Rd
man/RankControlHamming-class.Rd
man/RankData-class.Rd
man/RankControl-class.Rd
man/RanktoHash.Rd
man/RankControlWtau-class.Rd
man/GenerateExample.Rd
man/apa_partial_obj.Rd
man/ModelSummary.Rd
man/RankControlSpearman-class.Rd
man/HashtoRank.Rd
man/DistanceBlock.Rd
man/RankControlPhiComponent-class.Rd
rankdist documentation built on May 19, 2017, 10:52 a.m.