Package: abms 0.1

Francisco Segovia

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.

Authors:Francisco Segovia [aut, cre], Luis Gutierres [aut], Ramses Mena [aut]

abms_0.1.tar.gz
abms_0.1.tar.gz(r-4.5-noble)abms_0.1.tar.gz(r-4.4-noble)
abms_0.1.tgz(r-4.4-emscripten)abms_0.1.tgz(r-4.3-emscripten)
abms.pdf |abms.html
abms/json (API)

# Install 'abms' in R:
install.packages('abms', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sircornflake/bms/issues

Datasets:
  • ens - Chilean National Health Survey

On CRAN:

Conda:

1.00 score 6 exports 4 dependencies

Last updated 3 days agofrom:a3da752524. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-linuxOKMar 13 2025

Exports:gen_base_binomial_reggen_base_NegBinomial_reggibbs_abmsrCRTsummary_gibbswomack

Dependencies:BayesLogitGIGrvgmvtnormtruncnorm