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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.
Getting started
Browse package contents
Package details |
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| Author | Francisco Segovia [aut, cre], Luis Gutierres [aut], Ramses Mena [aut] |
| Maintainer | Francisco Segovia <fasegovia@uc.cl> |
| License | GPL (>= 3) |
| Version | 0.2 |
| URL | https://github.com/SirCornflake/BMS |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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