Efficient Bayesian Inference for the Bradley--Terry Model
Overview
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.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 15 (6 internal)
- Examples that run
- 88%7 run in a plain check · 1 hold no code
- Exported functions with examples
- 80%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing speedyBBT adds 1 package (1 with compiled code, 43 KB of source tarballs). Heaviest: BayesLogit 43 KB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0Latest2024-11-05 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-11-05
- Total releases
- 1 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.3 MB / 5 files
- Download size
- 1.3 MB
Cite
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Run in R for the authors' preferred citation:
citation("speedyBBT")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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