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.
A Bayesian regression model for discrete response, where the conditional distribution is modelled via a discrete Weibull distribution. This package provides an implementation of Metropolis-Hastings and Reversible-Jumps algorithms to draw samples from the posterior. It covers a wide range of regularizations through any two parameter prior. Examples are Laplace (Lasso), Gaussian (ridge), Uniform, Cauchy and customized priors like a mixture of priors. An extensive visual toolbox is included to check the validity of the results as well as several measures of goodness-of-fit.
| Version: | 1.3.0 |
| Depends: | R (≥ 3.0) |
| Imports: | coda, parallel, foreach, doParallel, MASS, methods, graphics, stats, utils, DWreg |
| Published: | 2024-01-29 |
| DOI: | 10.32614/CRAN.package.BDWreg |
| Author: | Hamed Haselimashhadi |
| Maintainer: | Hamed Haselimashhadi <hamedhaseli at gmail.com> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | BDWreg results |
| Reference manual: | BDWreg.pdf |
| Package source: | BDWreg_1.3.0.tar.gz |
| Windows binaries: | r-devel: BDWreg_1.3.0.zip, r-release: BDWreg_1.3.0.zip, r-oldrel: BDWreg_1.3.0.zip |
| macOS binaries: | r-release (arm64): BDWreg_1.3.0.tgz, r-oldrel (arm64): BDWreg_1.3.0.tgz, r-release (x86_64): BDWreg_1.3.0.tgz, r-oldrel (x86_64): BDWreg_1.3.0.tgz |
| Old sources: | BDWreg archive |
Please use the canonical form https://CRAN.R-project.org/package=BDWreg 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.