GreedyLocal

This function estimates the MLE of a Mallows-Binomial distribution using the GreedyLocal method,
which is identical to the Greedy method but includes an automatic and targeted post-hoc local search.

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

GreedyLocal function

<dl><dt>rankings</dt>
<dd>A matrix of rankings, potentially with attribute "assignments" to signify separate
reviewer assignments. One ranking per row.</dd>
<dt>ratings</dt>
<dd>A matrix of ratings, one row per judge and one column per object.</dd>
<dt>M</dt>
<dd>Numeric specifying maximum (=worst quality) integer rating.</dd></dl>

Arguments

Estimate the MLE of a Mallows-Binomial distribution using the "Greedy Local" method — GreedyLocal

<dl>

<dt>rankings</dt>
<dd>A matrix of rankings, potentially with attribute "assignments" to signify separate
reviewer assignments. One ranking per row.</dd>


<dt>ratings</dt>
<dd>A matrix of ratings, one row per judge and one column per object.</dd>


<dt>M</dt>
<dd>Numeric specifying maximum (=worst quality) integer rating.</dd>

</dl>

GreedyLocal: Estimate the MLE of a Mallows-Binomial distribution using the "Greedy Local" method

Description

Usage

Value

Arguments

Examples