loglike_function

This function computes the BSBT model loglikelihood function. It requires the deprivation levels and the win matrix.

internal

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

loglike_function function

<dl><dt>x</dt>
<dd>The level of deprivation of the areas on an exponential scale</dd>
<dt>win.matrix</dt>
<dd>A matrix, where w_ij give the number of times object i beat j</dd></dl>

Arguments

Compute the loglikelihood function — loglike_function

<dl>

<dt>x</dt>
<dd>The level of deprivation of the areas on an exponential scale</dd>


<dt>win.matrix</dt>
<dd>A matrix, where w_ij give the number of times object i beat j</dd>

</dl>

loglike_function: Compute the loglikelihood function

Description

Usage

Value

Arguments

Examples