tennis_agresti

This is the expansion of the tennis data from Agresti (2003) p.449
This data refers to matches for several women tennis players during 1989 and 1990

data

Models for the analysis of paired comparison data using Stan. The models include Bayesian versions of the Bradley-Terry model, including random effects (1 level), generalized model for predictors, order effect (home advantage) and the variations for the Davidson (1970) model to handle ties. Additionally, we provide a number of functions to facilitate inference and obtaining results with these models. References: Bradley and Terry (1952) <doi:10.2307/2334029>; Davidson (1970) <doi:10.1080/01621459.1970.10481082>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

David Issa Mattos

bpcs

Bayesian Paired Comparison Analysis with Stan

Erika Martins Silva Ramos

tennis_agresti function

This is the expansion of the data where each row contains 1 match only<ul>
<li>player0: name of player0</li>
<li>player1: name of player1</li>
<li>y: corresponds to the result of the match: 0 if player0 won, 1 if player1 won.</li>
<li>id: is a column to make each row unique in the data. It does not have any particular interpretation</li>
</ul>

Format

This is the expansion of the tennis data from  Agresti (2003) p.449
This data refers to matches for several women tennis players during 1989 and 1990 — tennis_agresti

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tennis_agresti: This is the expansion of the tennis data from Agresti (2003) p.449 This data refers to matches for several women tennis players during 1989 and 1990

Description

Usage

Arguments

Format