Package: ordinalbayes
Title: Bayesian Ordinal Regression for High-Dimensional Data
Version: 0.1.0
Date: 2022-03-07
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: R (>= 2.10)
Imports: coda, devtools, dclone, runjags, DESeq2, SummarizedExperiment
Suggests: knitr, Biobase, testthat (>= 3.0.0), rmarkdown
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
SystemRequirements: JAGS (>= 4.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-10 18:31:50 UTC; archer.43
Author: Kellie J. Archer [aut, cre] (<https://orcid.org/0000-0003-1555-5781>),
  Anna Seffernick [ctb],
  Shuai Sun [ctb],
  Yiran Zhang [aut]
Maintainer: Kellie J. Archer <archer.43@osu.edu>
Repository: CRAN
Date/Publication: 2022-03-11 10:40:05 UTC
Built: R 4.0.5; ; 2022-03-12 12:00:38 UTC; unix
