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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 ORCID iD [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.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:

Please use the canonical form https://CRAN.R-project.org/package=speedyBBT to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.