Bradley-Terry Models in R: The BradleyTerry2 Package

2012
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 pair-comparison 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.
JOURNAL OF STATISTICAL SOFTWARE
页码:1-21|卷号:48|期号:9
ISSN:1548-7660
来源机构
University of Warwick
收录类型
SSCI
发表日期
2012
学科领域
循证社会科学-方法
国家
英国
语种
英语
其他关键词
PAIRED-COMPARISON EXPERIMENTS; TIES
资助机构
UK Engineering and Physical Sciences Research CouncilUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC)
资助信息
This work was supported by the UK Engineering and Physical Sciences Research Council.
被引频次(WOS)
88
被引更新日期
2022-01
关键词
generalized linear model logistic regression penalized quasi-likelihood ranking tournament analysis working residuals