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speedyBBT  

Efficient Bayesian Inference for the Bradley–Terry Model
View on CRAN: Click here


Download and install speedyBBT package within the R console
Install from CRAN:
install.packages("speedyBBT")

Install from Github:
library("remotes")
install_github("cran/speedyBBT")

Install by package version:
library("remotes")
install_version("speedyBBT", "1.0")



Attach the package and use:
library("speedyBBT")
Maintained by
Rowland Seymour
[Scholar Profile | Author Map]
First Published: 2024-11-05
Latest Update: 2024-11-05
Description:
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.
How to cite:
Rowland Seymour (2024). speedyBBT: Efficient Bayesian Inference for the Bradley–Terry Model. R package version 1.0, https://cran.r-project.org/web/packages/speedyBBT. Accessed 03 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited speedyBBT R package
View speedyBBT citation profile
Other R packages that speedyBBT depends, imports, suggests or enhances
Complete documentation for speedyBBT
Functions, R codes and Examples using the speedyBBT R package
Full speedyBBT package functions and examples
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