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.
Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | bayestestR (≥ 0.13.2), data.table (≥ 1.15.2), magrittr (≥ 2.0.3), posterior (≥ 1.5.0) |
| Suggests: | flextable (≥ 0.9.5), knitr (≥ 1.45), rmarkdown (≥ 2.26), rstanarm (≥ 2.32.1), tibble (≥ 3.2.1), testthat (≥ 3.0.0) |
| Published: | 2024-04-27 |
| Author: | David M. Dalenberg [aut, cre] |
| Maintainer: | David M. Dalenberg <dalenbe2 at gmail.com> |
| BugReports: | https://github.com/dalenbe2/bayesMeanScale/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/dalenbe2/bayesMeanScale |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | bayesMeanScale results |
| Reference manual: | bayesMeanScale.pdf |
| Vignettes: |
Introduction to 'bayesMeanScale' |
| Package source: | bayesMeanScale_0.1.1.tar.gz |
| Windows binaries: | r-devel: bayesMeanScale_0.1.1.zip, r-release: bayesMeanScale_0.1.1.zip, r-oldrel: bayesMeanScale_0.1.1.zip |
| macOS binaries: | r-release (arm64): bayesMeanScale_0.1.1.tgz, r-oldrel (arm64): bayesMeanScale_0.1.1.tgz, r-release (x86_64): bayesMeanScale_0.1.1.tgz, r-oldrel (x86_64): bayesMeanScale_0.1.1.tgz |
| Old sources: | bayesMeanScale archive |
Please use the canonical form https://CRAN.R-project.org/package=bayesMeanScale 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.