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ConsRank (version 1.0.1)

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

Description

Compute the median ranking according the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete.

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Version

Install

install.packages('ConsRank')

Monthly Downloads

4,846

Version

1.0.1

License

GPL-3

Maintainer

Antonio DAmbrosio

Last Published

September 24th, 2015

Functions in ConsRank (1.0.1)

American Psychological Association dataset, full version

Find the first approximation to the consensus ranking. Most of the time the output is a solution, maybe not unique

Brook and Upton data

Transform a ranking into a ordering.

Score matrix according Emond and Mason (2002)

Frequency distribution of a sample of rankings

Auxiliary function

Kemeny distance

findconsensusBB

Find a first ranking candidate to be the cinsensus ranking

Auxiliary function

ConsRank-package

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

Branch and Bound algorithm to find the median ranking in the space of full (or complete) rankings.

Quick algorithm to find up to 4 solutions to the consensus ranking problem

Core function in computing consensus ranking as defined by Emond and Mason (2002)

FAST algorithm to find consensus (median) ranking according the Kemeny's axionatic approach

Auxliary code recalled by other routines

Combined input matrix of a data set

Auxiliary function

Auxiliary function

Emond and Mason data

Auxiliary function

American Psychological Association dataset, reduced version with only full rankings

Tau exstension rank correlation coefficient

Plot rankings on a permutation polytope of 3 o 4 objects containing all possible ties

Auxiliary function

Branch-and-bound algorithm to find consensus (median) ranking according to the Kemeny's axiomatic approach

German political goals