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

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Documentation for package ‘ConsRank’ version 1.0.2

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ConsRank-package Compute the Median Ranking(s) 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
BBconsensus Find the first approximation to the consensus ranking. Most of the time the output is a solution, maybe not unique
BBconsensus2 Core function in computing consensus ranking as defined by Emond and Mason (2002)
BBFULL Branch and Bound algorithm to find the median ranking in the space of full (or complete) rankings.
branches Auxliary code recalled by other routines
BU Brook and Upton data
combinpmatr Combined input matrix of a data set
ConsRank Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach
EMCons Branch-and-bound algorithm to find consensus (median) ranking according to the Kemeny's axiomatic approach
EMD Emond and Mason data
FASTcons FAST algorithm to find consensus (median) ranking according the Kemeny's axionatic approach
findbranches Auxiliary function
findconsensusBB Find a first ranking candidate to be the cinsensus ranking
German German political goals
Idea Idea data set
kemenyd Kemeny distance
kemenydesign Auxiliary function
labels Transform a ranking into a ordering.
Penalty Auxiliary function
PenaltyBB2 Auxiliary function
polyplot Plot rankings on a permutation polytope of 3 o 4 objects containing all possible ties
QuickCons Quick algorithm to find up to 4 solutions to the consensus ranking problem
reordering Auxiliary function
ReorderingBB Auxiliary function
scorematrix Score matrix according Emond and Mason (2002)
sports sports data
tabulaterows Frequency distribution of a sample of rankings
Tau_X Tau exstension rank correlation coefficient
USAranks USA rank data