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An implementation of the Bayesian Spatial BradleyTerry (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 


Author  Rowland Seymour [aut, cre] (<https://orcid.org/0000000287393921>), James Briant [aut], Yichi Zhang [aut] 
Maintainer  Rowland Seymour <rowland.seymour@nottingham.ac.uk> 
License  GPL3 
Version  1.2.1 
URL  https://github.com/rowlandseymour/BSBT 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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