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) .


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install.packages("BSBT")

1.1.0 by Rowland Seymour, a month ago


Browse source code at https://github.com/cran/BSBT


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