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 |
| 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:
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