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To cite the ordinalbayes package in publications use:

J KA, Eames AS, Sun S, Zhang Y (2022). “ordinalbayes: Bayesian Ordinal Regression for High-Dimensional Data.” R package version 0.1.1, https://CRAN.R-project.org/package=ordinalbayes.

Zhang Y, Archer KJ (2021). “Bayesian penalized cumulative logit model for high-dimensional data with an ordinal response.” Statistics in Medicine, 40, 1453–1481. https://pubmed.ncbi.nlm.nih.gov/33336826/.

Zhang Y, Archer KJ (2021). “Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia.” BMC Bioinformatics, 22(1), 539. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04432-w.

Corresponding BibTeX entries:

  @Misc{,
    title = {ordinalbayes: Bayesian Ordinal Regression for
      High-Dimensional Data},
    author = {Kellie Archer J and Anna Seffernick Eames and Shuai Sun
      and Yiran Zhang},
    year = {2022},
    note = {R package version 0.1.1},
    url = {https://CRAN.R-project.org/package=ordinalbayes},
  }
  @Article{,
    title = {Bayesian penalized cumulative logit model for
      high-dimensional data with an ordinal response},
    author = {Yiran Zhang and Kellie J Archer},
    year = {2021},
    journal = {Statistics in Medicine},
    volume = {40},
    pages = {1453--1481},
    url = {https://pubmed.ncbi.nlm.nih.gov/33336826/},
  }
  @Article{,
    title = {Bayesian variable selection for high-dimensional data with
      an ordinal response: identifying genes associated with prognostic
      risk group in acute myeloid leukemia},
    author = {Yiran Zhang and Kellie J Archer},
    year = {2021},
    journal = {BMC Bioinformatics},
    volume = {22},
    number = {1},
    pages = {539},
    url =
      {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04432-w},
  }

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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