Bradley-Terry Models in R: The BradleyTerry2 Package

Heather Turner and David Firth

Journal of Statistical Software, 2012, vol. 048, issue i09

Abstract: This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification and fitting of Bradley-Terry logit, probit or cauchit models to paircomparison data. Included are the standard ‘unstructured’ Bradley-Terry model, structured versions in which the parameters are related through a linear predictor to explanatory variables, and the possibility of an order or ‘home advantage’ effect or other ‘contest-specific’ effects. Model fitting is either by maximum likelihood, by penalized quasi-likelihood (for models which involve a random effect), or by bias-reduced maximum likelihood in which the first-order asymptotic bias of parameter estimates is eliminated. Also provided are a simple and efficient approach to handling missing covariate data, and suitably-defined residuals for diagnostic checking of the linear predictor.

Date: 2012-05-24
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:048:i09

DOI: 10.18637/jss.v048.i09

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