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>.

Version: 1.2.1
Depends: R (≥ 2.10)
Imports: stats, MASS, igraph, utils, expm
Suggests: knitr, rmarkdown, testthat, sf, surveillance, spdep, RColorBrewer, deldir, RSQLite
Published: 2022-08-09
Author: Rowland Seymour ORCID iD [aut, cre], James Briant [aut], Yichi Zhang [aut]
Maintainer: Rowland Seymour <rowland.seymour at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: BSBT results


Reference manual: BSBT.pdf
Vignettes: BSBT_example
BSBT for Dar es Salaam


Package source: BSBT_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BSBT_1.2.1.tgz, r-oldrel (arm64): BSBT_1.2.1.tgz, r-release (x86_64): BSBT_1.2.1.tgz, r-oldrel (x86_64): BSBT_1.2.1.tgz
Old sources: BSBT archive


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