Package: speedyBBT 1.0
Rowland Seymour
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.
Authors:
speedyBBT_1.0.tar.gz
speedyBBT_1.0.tar.gz(r-4.5-noble)speedyBBT_1.0.tar.gz(r-4.4-noble)
speedyBBT_1.0.tgz(r-4.4-emscripten)speedyBBT_1.0.tgz(r-4.3-emscripten)
speedyBBT.pdf |speedyBBT.html✨
speedyBBT/json (API)
NEWS
| # Install 'speedyBBT' in R: |
| install.packages('speedyBBT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- darEsSalaam - Comparative Judgment on Deprivation in Dar es Salaam, Tanzania
- forcedMarriage - Forced Marriage in Nottinghamshire
- oxon.comparisons - Honour Based Abuse in Oxfordshire
- sy.comparisons - FGM in South Yorkshire
- wimbledon - Wimbledon Men's Singles Championship 2019
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 18 days agofrom:b7b619ddfe. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-linux | OK | Nov 06 2024 |
Exports:BBTmBBTm.no.formulaBBTm.tiesBBTm.with.formulacomparisons_to_matrixconstruct.design.matrixconstruct.design.matrix.both.waysconstruct.design.matrix.by.comparisonconstruct.generalised.design.matrixspeedyBBTm
Dependencies:BayesLogitlatticeMatrix
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generalised Bradley-Terry model | BBTm |
| Bayesian inference for the Bradley-Terry model with ties | BBTm.ties |
| Construct Win Matrix from Comparisons | comparisons_to_matrix |
| Comparative Judgment on Deprivation in Dar es Salaam, Tanzania | darEsSalaam |
| Forced Marriage in Nottinghamshire | forcedMarriage |
| Honour Based Abuse in Oxfordshire | oxon.comparisons |
| Standard Bayesian Bradley-Terry model | speedyBBTm |
| FGM in South Yorkshire | sy.comparisons |
| Wimbledon Men's Singles Championship 2019 | wimbledon |
