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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: |
0.1.1 |
| Depends: |
DESeq2, R (≥ 2.10), SummarizedExperiment |
| Imports: |
coda, devtools, dclone, runjags |
| Suggests: |
knitr, Biobase, testthat (≥ 3.0.0), rmarkdown |
| Published: |
2022-04-06 |
| Author: |
Kellie J. Archer 
[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:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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