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ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data (original) (raw)

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. 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
URL: https://github.com/kelliejarcher/ordinalbayes
NeedsCompilation: no
SystemRequirements: JAGS (>= 4.0.0)
Citation: ordinalbayes citation info
Materials: README
CRAN checks: ordinalbayes results

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