AIBS

<p>This real data set includes 12 judges (reviewers) and 28 objects (proposals), and demonstrates the ability
of the Mallows-Binomial model to combine ratings and rankings for the purpose of demarcating
real grant proposals for a funding agency.</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

AIBS function

<p>A list with three elements: (1) <code>rankings</code>, a 12 x 18 matrix of rankings with one row per judge;
(2) <code>ratings</code>, a 12 x 18 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>

AIBS: Real peer review data set from the American Institute of Biological Sciences (AIBS)

Description

Usage

Arguments

Format