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.