abms
Augmented Bayesian Model Selection for Regression Models
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.
- Version0.1
- R versionR (≥ 3.6.0)
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/13/2025
Team
Francisco Segovia
MaintainerShow author detailsLuis Gutierres
Show author detailsRolesAuthorRamses Mena
Show author detailsRolesAuthor
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Dependencies
- Imports4 packages