Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach

[Up] [Top]

Documentation for package ‘ConsRank’ version 3.0

Help Pages

ConsRank-package Median Ranking Approach According to the Kemeny's Axiomatic Approach
APAFULL American Psychological Association dataset, full version
APAred American Psychological Association dataset, reduced version with only full rankings
BU Brook and Upton data
combinpmatr Combined input matrix with C++ optimization
ConsRank Median Ranking Approach According to the Kemeny's Axiomatic Approach
consrank Branch-and-bound and heuristic algorithms to find consensus (median) ranking according to the Kemeny's axiomatic approach
EMD Emond and Mason data
German German political goals
Idea Idea data set
iwcombinpmatr Item-weighted Combined input matrix of a data set
iwquickcons The item-weighted Quick algorithm to find up to 4 solutions to the consensus ranking problem
iw_kemenyd Item-weighted Kemeny distance
iw_tau_x Item-weighted TauX rank correlation coefficient
kemenyd Kemeny distance
kemenydesign Auxiliary function
kemenydesign_cpp Kemeny design matrix (C++ implementation)
kemenyscore Score matrix according Kemeny (1962)
mcbo Median Constrained Bucket Order (MCBO)
order2rank Given an ordering, it is transformed to a ranking
partitions Generate partitions of n items constrained into k non empty subsets
polyplot Plot rankings on a permutation polytope of 3 o 4 objects containing all possible ties
polyplotnew Plot rankings on a permutation polytope of 3 or 4 objects
rank2order Given a rank, it is transformed to a ordering
reordering Given a vector (or a matrix), returns an ordered vector (or a matrix with ordered vectors)
scorematrix Score matrix according Emond and Mason (2002)
sports sports data
stirling2 Stirling numbers of the second kind
tabulaterows Frequency distribution of a sample of rankings
Tau_X TauX (tau exstension) rank correlation coefficient
tau_x TauX (tau exstension) rank correlation coefficient
univranks Generate the universe of rankings
USAranks USA rank data