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.

To cite UPG in publications use:

Gregor Z, Sylvia F, Helga W (2023). “Ultimate Pólya Gamma Samplers – Efficient MCMC for possibly imbalanced binary and categorical data.” Journal of the American Statistical Association. doi:10.1080/01621459.2023.2259030, https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2259030.

Gregor Z, Sylvia F, Helga W (2021). “Efficient Bayesian modeling of binary and categorical data in R: the UPG Package.” doi:10.48550/arXiv.2101.02506, https://arxiv.org/abs/2101.02506.

Corresponding BibTeX entries:

  @Article{UPG2023JASA,
    doi = {10.1080/01621459.2023.2259030},
    title = {Ultimate Pólya Gamma Samplers – Efficient MCMC for
      possibly imbalanced binary and categorical data},
    author = {Zens Gregor and Frühwirth-Schnatter Sylvia and Wagner
      Helga},
    journal = {Journal of the American Statistical Association},
    year = {2023},
    url =
      {https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2259030},
  }
  @Misc{UPG2021Package,
    doi = {10.48550/arXiv.2101.02506},
    url = {https://arxiv.org/abs/2101.02506},
    author = {Zens Gregor and Frühwirth-Schnatter Sylvia and Wagner
      Helga},
    title = {Efficient Bayesian modeling of binary and categorical data
      in R: the UPG Package},
    publisher = {arXiv},
    year = {2021},
  }

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.