cook_example

A dataset containing 5 partial rankings
of 6 items. This is the example used by
Cook et al (2007).

datasets

Easily compute an aggregate ranking (also called a median ranking or a
consensus ranking) according to the axiomatic approach presented
by Cook et al. (2007). This approach minimises the number of violations
between all candidate consensus rankings and all input (partial) rankings,
and draws on a branch and bound algorithm and a heuristic algorithm to
drastically improve speed. The package also provides an option to bootstrap
a consensus ranking based on resampling input rankings (with
replacement). Input rankings can be either incomplete (partial) or complete.
Reference: Cook, W.D., Golany, B., Penn, M. and Raviv, T. (2007) <doi:10.1016/j.cor.2005.05.030>.

Jay Burns

RankAggregator

Aggregation of (Partial) Ordinal Rankings

Adam Butler

cook_example function

A data frame of 20 rows and 3 columns<dl class="dl-horizontal">
<dt>Item</dt><dd>Character values giving one of 6 items</dd>
<dt>Reviewer</dt><dd>Character values giving one of 5 reviewers</dd>
<dt>Ranking</dt><dd>Numeric values giving a rank position</dd>
</dl>

Format

Example data: partial rankings — cook_example

A data frame of 20 rows and 3 columns<dl class='dl-horizontal'>
<dt>Item</dt><dd>Character values giving one of 6 items</dd>
<dt>Reviewer</dt><dd>Character values giving one of 5 reviewers</dd>
<dt>Ranking</dt><dd>Numeric values giving a rank position</dd>
</dl>

cook_example: Example data: partial rankings

Description

Usage

Arguments

Format