Package: speedyBBT 1.0.0.9000
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_1.0.0.9000.tar.gz
speedyBBT_1.0.0.9000.zip(r-4.7-any)speedyBBT_1.0.0.9000.zip(r-4.6-any)speedyBBT_1.0.0.9000.zip(r-4.5-any)
speedyBBT_1.0.0.9000.tgz(r-4.6-any)speedyBBT_1.0.0.9000.tgz(r-4.5-any)
speedyBBT_1.0.0.9000.tar.gz(r-4.7-any)speedyBBT_1.0.0.9000.tar.gz(r-4.6-any)
speedyBBT_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
speedyBBT/json (API)
| # Install 'speedyBBT' in R: |
| install.packages('speedyBBT', repos = c('https://rowlandseymour.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rowlandseymour/speedybbt/issues
Datasets:
- 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
Last updated from:fba1573005. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 190 | ||
| source / vignettes | OK | 391 | ||
| linux-release | NOTE | 196 | ||
| macos-release | NOTE | 130 | ||
| macos-oldrel | NOTE | 113 | ||
| windows-devel | NOTE | 136 | ||
| windows-release | NOTE | 118 | ||
| windows-oldrel | NOTE | 125 | ||
| wasm-release | OK | 121 |
Exports:BBTmBBTm.no.formulaBBTm.tiesBBTm.with.formulacomparisons_to_matrixconstruct.design.matrixconstruct.design.matrix.both.waysconstruct.design.matrix.by.comparisonconstruct.generalised.design.matrixparameterspeedyBBTm
Dependencies:BayesLogitcodalatticeMatrix
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 |
| Extract parameter draws from a model object | parameter |
| Standard Bayesian Bradley-Terry model | speedyBBTm |
| FGM in South Yorkshire | sy.comparisons |
| Wimbledon Men's Singles Championship 2019 | wimbledon |
