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abms  

Augmented Bayesian Model Selection for Regression Models
View on CRAN: Click here


Download and install abms package within the R console
Install from CRAN:
install.packages("abms")

Install from Github:
library("remotes")
install_github("cran/abms")

Install by package version:
library("remotes")
install_version("abms", "0.2")



Attach the package and use:
library("abms")
Maintained by
Francisco Segovia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-13
Latest Update: 2025-04-05
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.
How to cite:
Francisco Segovia (2025). abms: Augmented Bayesian Model Selection for Regression Models. R package version 0.2, https://cran.r-project.org/web/packages/abms. Accessed 12 Mar. 2026.
Previous versions and publish date:
0.1 (2025-03-13 14:10)
Other packages that cited abms R package
View abms citation profile
Other R packages that abms depends, imports, suggests or enhances
Complete documentation for abms
Functions, R codes and Examples using the abms R package
Full abms package functions and examples
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