speedyBBT: Efficient Bayesian Inference for the Bradley–Terry Model
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.
| Version: | 1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | base, BayesLogit, Matrix, stats, utils |
| Suggests: | expm, testthat (≥ 3.0.0) |
| Published: | 2024-11-05 |
| DOI: | 10.32614/CRAN.package.speedyBBT |
| Author: | Rowland Seymour 
[aut, cre, cph] |
| Maintainer: | Rowland Seymour <r.g.seymour at bham.ac.uk> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | speedyBBT results |
Documentation:
| Reference manual: | speedyBBT.html , speedyBBT.pdf |
Downloads:
| Package source: | speedyBBT_1.0.tar.gz |
| Windows binaries: | r-devel: speedyBBT_1.0.zip, r-release: speedyBBT_1.0.zip, r-oldrel: speedyBBT_1.0.zip |
| macOS binaries: | r-release (arm64): speedyBBT_1.0.tgz, r-oldrel (arm64): speedyBBT_1.0.tgz, r-release (x86_64): speedyBBT_1.0.tgz, r-oldrel (x86_64): speedyBBT_1.0.tgz |
Linking:
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