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.
Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.
| Version: | 0.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | BayesLogit, GIGrvg, mvtnorm, truncnorm |
| Published: | 2025-03-13 |
| DOI: | 10.32614/CRAN.package.abms |
| Author: | Francisco Segovia [aut, cre], Luis Gutierres [aut], Ramses Mena [aut] |
| Maintainer: | Francisco Segovia <fasegovia at uc.cl> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/SirCornflake/BMS |
| NeedsCompilation: | no |
| CRAN checks: | abms results |
| Reference manual: | abms.pdf |
| Package source: | abms_0.1.tar.gz |
| Windows binaries: | r-devel: abms_0.1.zip, r-release: abms_0.1.zip, r-oldrel: abms_0.1.zip |
| macOS binaries: | r-devel (arm64): abms_0.1.tgz, r-release (arm64): abms_0.1.tgz, r-oldrel (arm64): abms_0.1.tgz, r-devel (x86_64): abms_0.1.tgz, r-release (x86_64): abms_0.1.tgz, r-oldrel (x86_64): abms_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=abms 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.