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:Rowland Seymour [aut, cre, cph]

speedyBBT_1.0.0.9000.tar.gz
speedyBBT_1.0.0.9000.zip(r-4.7)speedyBBT_1.0.0.9000.zip(r-4.6)speedyBBT_1.0.0.9000.zip(r-4.5)
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:

On CRAN:

Conda:

2.70 score 2 scripts 554 downloads 10 exports 3 dependencies

Last updated from:7f58ede8ca. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK261
source / vignettesOK137
linux-release-x86_64OK263
macos-release-arm64OK319
macos-oldrel-arm64OK261
windows-develOK232
windows-releaseOK220
windows-oldrelOK218
wasm-releaseOK91

Exports:BBTmBBTm.no.formulaBBTm.tiesBBTm.with.formulacomparisons_to_matrixconstruct.design.matrixconstruct.design.matrix.both.waysconstruct.design.matrix.by.comparisonconstruct.generalised.design.matrixspeedyBBTm

Dependencies:BayesLogitlatticeMatrix