speedyBBT
Efficient Bayesian Inference for the Bradley–Terry Model
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.
- Version1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release11/05/2024
Documentation
Team
Rowland Seymour
Insights
Last 30 days
This package has been downloaded 404 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,289 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Feb 08, 2025 with 50 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Suggests2 packages