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)
- Version1.2.1
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?No
- Last release08/09/2022
Documentation
Team
Rowland Seymour
Seymour
James Briant
Show author detailsRolesAuthorYichi Zhang
Show author detailsRolesAuthor
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- Depends1 package
- Imports5 packages
- Suggests9 packages