Package: abms
Title: Augmented Bayesian Model Selection for Regression Models
Version: 0.2
Authors@R: c(
    person("Francisco", "Segovia", role = c("aut", "cre"), email = "fasegovia@uc.cl"),
    person("Luis", "Gutierres", role = c("aut"), email = "llgutier@mat.uc.cl"),
    person("Ramses", "Mena", role = c("aut"), email = "ramses@sigma.iimas.unam.mx")
    )
Description: 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.
License: GPL (>= 3)
URL: https://github.com/SirCornflake/BMS
Encoding: UTF-8
RoxygenNote: 7.2.2
Imports: BayesLogit, GIGrvg, mvtnorm, truncnorm
Depends: R (>= 3.6.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-05 21:17:15 UTC; asus
Author: Francisco Segovia [aut, cre],
  Luis Gutierres [aut],
  Ramses Mena [aut]
Maintainer: Francisco Segovia <fasegovia@uc.cl>
Repository: CRAN
Date/Publication: 2025-04-05 21:30:03 UTC
Built: R 4.6.0; ; 2026-04-25 23:16:58 UTC; unix
