BSBT: The Bayesian Spatial Bradley--Terry Model

An implementation of the Bayesian Spatial Bradley--Terry (BSBT) model. It can be used to investigate data sets where judges compared different spatial areas. It constructs a network to describe how the areas are connected, and then places a correlated prior distribution on the quality parameter for each area, based on the network. The package includes MCMC algorithms to estimate the quality parameters. The methodology is published in Seymour et. al. (2020) <arXiv:2010.14128>.

Package details

AuthorRowland Seymour [aut, cre] (<>), James Briant [aut], Yichi Zhang [aut]
MaintainerRowland Seymour <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the BSBT package in your browser

Any scripts or data that you put into this service are public.

BSBT documentation built on Aug. 9, 2022, 5:06 p.m.