Package: ordinalbayes
Title: Bayesian Ordinal Regression for High-Dimensional Data
Version: 0.1.1
Date: 2022-03-30
Authors@R: c(person("Kellie J.", "Archer", email = "archer.43@osu.edu",
  role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1555-5781")),
  person("Anna", "Seffernick", role=c("ctb")), 
  person("Shuai", "Sun", role=c("ctb")),
  person("Yiran", "Zhang", role=c("aut")))
Description: 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>.
License: MIT + file LICENSE
Depends: DESeq2, R (>= 2.10), SummarizedExperiment
Imports: coda, devtools, dclone, runjags
Suggests: knitr, Biobase, testthat (>= 3.0.0), rmarkdown
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
SystemRequirements: JAGS (>= 4.0.0)
VignetteBuilder: knitr
URL: https://github.com/kelliejarcher/ordinalbayes
BugReports: https://github.com/kelliejarcher/ordinalbayes/issues
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libfribidi-dev git make libharfbuzz-dev jags libgit2-dev
        libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev
        libwebp-dev libxml2-dev libssl-dev libx11-dev zlib1g-dev
Repository: https://kelliejarcher.r-universe.dev
Date/Publication: 2022-04-19 12:11:14 UTC
RemoteUrl: https://github.com/kelliejarcher/ordinalbayes
RemoteRef: HEAD
RemoteSha: aed233a760476e9c11ff6c223a722b0fe030e76a
NeedsCompilation: no
Packaged: 2026-06-05 07:34:30 UTC; root
Author: Kellie J. Archer [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1555-5781>),
  Anna Seffernick [ctb],
  Shuai Sun [ctb],
  Yiran Zhang [aut]
Maintainer: Kellie J. Archer <archer.43@osu.edu>