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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:2025-04-30
DOI:10.32614/CRAN.package.ordinalbayes
Author:Kellie J. ArcherORCID 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 + fileLICENSE
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 formhttps://CRAN.R-project.org/package=ordinalbayesto link to this page.


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