Efficient Bayesian Inference for the Bradley--Terry Model R package speedyBBT version 1.0 A suite of functions that allow a full, fast, and efficient Bayesian treatment of the Bradley--Terry model. Prior assumptions about the model parameters can be encoded through a multivariate normal prior distribution. Inference is performed using a latent variable representation of the model. Software Depends: R (>= 2.10) Imports: base, BayesLogit, Matrix, stats, utils Suggests: expm, testthat (>= 3.0.0) Rowland Seymour <r.g.seymour@bham.ac.uk> Comprehensive R Archive Network (CRAN) Rowland Seymour [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8739-3921>) GPL (>= 3) 2024-11-05 application/tgz https://CRAN.R-project.org/package=speedyBBT doi:10.32614/CRAN.package.speedyBBT