ToyData3

<p>This toy data set includes 16 judges and 3 objects, and demonstrates the ability
of the Mallows-Binomial model to estimate overall object orderings even when judges provide
sets of rankings and ratings which are internally inconsistent.</p>

datasets

Statistical tools for the Mallows-Binomial model, the first joint statistical model for preference learning for rankings and ratings. This project was supported by the National Science Foundation under Grant No. 2019901.

Michael Pearce

rankrate

Joint Statistical Models for Preference Learning with Rankings
and Ratings

ToyData3 function

<p>list with three elements: (1) <code>rankings</code>, a 16 x 3 matrix of rankings with one row per judge;
(2) <code>ratings</code>, a 16 x 3 matrix of ratings, with one row per judge and one column per object; and
(3) <code>M</code>, a number indicating the maximum (worst) integer score.</p>

ToyData3: Toy data set of rankings and ratings when judges express internally inconsistent preferences

Description

Usage

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