The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| DOI: |
10.32614/CRAN.package.ordinalbayes |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ordinalbayes
to link to this page.
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.