male.mean.deprivation

datasets

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>.

Rowland Seymour

BSBT

The Bayesian Spatial Bradley--Terry Model

male.mean.deprivation function

<p>An vector of 452 elements, one for each subward</p>

male.mean.deprivation: The mean level of deprivation for subwards in Dar es Salaam as perceived by men

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