speedyBBT: Efficient Bayesian Inference for the Bradley–Terry Model

Rowland Seymour

doi:10.32614/CRAN.package.speedyBBT

speedyBBT: Efficient Bayesian Inference for the Bradley–Terry Model

Rowland Seymour (Developer)

Mathematics

Research output: Non-textual form › Software

Abstract

A suite of functions that allow a full, fast, and efficient Bayesian treatment of the Bradley–Terry model. Prior assumptions about the model parameters can be encoded through a multivariate normal prior distribution. Inference is performed using a latent variable representation of the model.

Original language	English
Publisher	CRAN
Media of output	Online
DOIs	https://doi.org/10.32614/CRAN.package.speedyBBT
Publication status	Published - 5 Nov 2024

Access to Document

10.32614/CRAN.package.speedyBBTLicence: GNU: General Public License (GPL)

https://cran.r-project.org/package=speedyBBTLicence: GNU: General Public License (GPL)

Computational Statistics to Tackle Modern Slavery
Seymour, R. (Principal Investigator)
Medical Research Council
1/06/24 → 31/05/28
Project: Research

Cite this

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title = "speedyBBT: Efficient Bayesian Inference for the Bradley–Terry Model",

abstract = "A suite of functions that allow a full, fast, and efficient Bayesian treatment of the Bradley–Terry model. Prior assumptions about the model parameters can be encoded through a multivariate normal prior distribution. Inference is performed using a latent variable representation of the model.",

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speedyBBT: Efficient Bayesian Inference for the Bradley–Terry Model

Abstract

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Projects

Computational Statistics to Tackle Modern Slavery

Cite this