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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.1.0 by Rowland Seymour, a month ago

Browse source code at

Authors: Rowland Seymour [aut, cre] , James Briant [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, MASS, igraph, utils, expm

Suggests knitr, rmarkdown, testthat, sf, surveillance, spdep, RColorBrewer, deldir

See at CRAN