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>.
README
# ordinalbayes
## Installing ordinalbayes
1. Install JAGS https://mcmc-jags.sourceforge.io
2. Install R https://cran.r-project.org
3. Install runjags which is hosted on CRAN and
http://runjags.sourceforge.net
4. Install Bioconductor packages
a. See https://www.bioconductor.org/install/ to install base Bioconductor packages
b. To run examples using finalSet and reducedSet the
DESeq2 package is needed. To install run
> BiocManager::install("DESeq2")
5. Install ordinalbayes using
a. within R use > install.packages("ordinalbayes")
or
b. > devtools::install_github("kelliejarcher/ordinalbayes", build_vignettes =
TRUE)
This latter command takes longer because the vignette needs to be built.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
rolling linux/noble R-4.5 | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
rolling source/ R- | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
latest linux/jammy R-4.5 | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
latest linux/noble R-4.5 | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
latest source/ R- | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
2026-04-26 source/ R- | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.2 |
2026-04-23 source/ R- | ordinalbayes_0.1.2.tar.gz |
4.0 MiB |
0.1.1 |
2025-04-20 source/ R- | ordinalbayes_0.1.1.tar.gz |
4.0 MiB |