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.
A Variational Bayesian algorithm for high-dimensional multi-source heterogeneous linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of Spike-and-Slab priors are available: the Laplace distribution and the Gaussian distribution as the Slab component.
| Version: | 1.0.0 |
| Imports: | pracma, selectiveInference, MASS |
| Published: | 2025-10-08 |
| DOI: | 10.32614/CRAN.package.VBMS |
| Author: | Lu Luo [aut, cre], Huiqiong Li [aut] |
| Maintainer: | Lu Luo <luolu at stu.ynu.edu.cn> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | VBMS results |
| Reference manual: | VBMS.html , VBMS.pdf |
| Package source: | VBMS_1.0.0.tar.gz |
| Windows binaries: | r-devel: VBMS_1.0.0.zip, r-release: VBMS_1.0.0.zip, r-oldrel: VBMS_1.0.0.zip |
| macOS binaries: | r-release (arm64): VBMS_1.0.0.tgz, r-oldrel (arm64): VBMS_1.0.0.tgz, r-release (x86_64): VBMS_1.0.0.tgz, r-oldrel (x86_64): VBMS_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=VBMS 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.