Bayesian Ordinal Regression for High-Dimensional Data [R package ordinalbayes version 0.1.2]

ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data

Provides a function for fitting various penalized Bayesian cumulative link ordinal response models when the number of parameters exceeds the sample size. These models have been described in Zhang and Archer (2021) <doi:10.1186/s12859-021-04432-w>.

Version: 0.1.2

Depends: DESeq2, R (≥ 2.10), SummarizedExperiment

Imports: coda, dclone, runjags

Suggests: knitr, Biobase, testthat (≥ 3.0.0), rmarkdown

Published: 2025年04月30日

DOI: 10.32614/CRAN.package.ordinalbayes

Author: Kellie J. Archer ORCID iD [aut, cre], Anna Seffernick [ctb], Shuai Sun [ctb], Yiran Zhang [aut]

Maintainer: Kellie J. Archer <archer.43 at osu.edu>

BugReports: https://github.com/kelliejarcher/ordinalbayes/issues

License: MIT + file LICENSE

URL: https://github.com/kelliejarcher/ordinalbayes

NeedsCompilation: no

SystemRequirements: JAGS (>= 4.0.0)

Citation: ordinalbayes citation info

Materials: README

CRAN checks: ordinalbayes results

Documentation:

Reference manual: ordinalbayes.html , ordinalbayes.pdf

Vignettes: ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data (source, R code)

Downloads:

Package source: ordinalbayes_0.1.2.tar.gz

Windows binaries: r-devel: ordinalbayes_0.1.2.zip, r-release: ordinalbayes_0.1.2.zip, r-oldrel: ordinalbayes_0.1.2.zip

macOS binaries: r-release (arm64): ordinalbayes_0.1.2.tgz, r-oldrel (arm64): ordinalbayes_0.1.2.tgz, r-release (x86_64): ordinalbayes_0.1.2.tgz, r-oldrel (x86_64): ordinalbayes_0.1.2.tgz

Old sources: ordinalbayes archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ordinalbayes to link to this page.