The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Efficient Bayesian implementations of probit, logit, multinomial logit and binomial logit models. Functions for plotting and tabulating the estimation output are available as well. Estimation is based on Gibbs sampling where the Markov chain Monte Carlo algorithms are based on the latent variable representations and marginal data augmentation algorithms described in "Gregor Zens, Sylvia Frühwirth-Schnatter & Helga Wagner (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>".
| Version: | 0.3.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, knitr, matrixStats, mnormt, pgdraw, reshape2, coda, truncnorm |
| Published: | 2024-11-10 |
| DOI: | 10.32614/CRAN.package.UPG |
| Author: | Gregor Zens [aut, cre], Sylvia Frühwirth-Schnatter [aut], Helga Wagner [aut] |
| Maintainer: | Gregor Zens <zens at iiasa.ac.at> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | UPG citation info |
| Materials: | README NEWS |
| CRAN checks: | UPG results |
| Reference manual: | UPG.pdf |
| Vignettes: |
UPG_Vignette (source) |
| Package source: | UPG_0.3.5.tar.gz |
| Windows binaries: | r-devel: UPG_0.3.5.zip, r-release: UPG_0.3.5.zip, r-oldrel: UPG_0.3.5.zip |
| macOS binaries: | r-release (arm64): UPG_0.3.5.tgz, r-oldrel (arm64): UPG_0.3.5.tgz, r-release (x86_64): UPG_0.3.5.tgz, r-oldrel (x86_64): UPG_0.3.5.tgz |
| Old sources: | UPG archive |
Please use the canonical form https://CRAN.R-project.org/package=UPG to link to this page.
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.
Health stats visible at Monitor.