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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.
Getting started
Browse package contents
Package details |
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| Author | Rowland Seymour [aut, cre, cph] (<https://orcid.org/0000-0002-8739-3921>) |
| Maintainer | Rowland Seymour <r.g.seymour@bham.ac.uk> |
| License | GPL (>= 3) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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