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: not available, r-release: not available, 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 |
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