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FBMS  

Flexible Bayesian Model Selection and Model Averaging
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FBMS", "1.0")



Attach the package and use:
library("FBMS")
Maintained by
Jon Lachmann
[Scholar Profile | Author Map]
First Published: 2023-12-21
Latest Update: 2023-12-21
Description:
Implements MJMCMC (mode jumping MCMC) described in Hubin and Storvik (2018) and GMJMCMC (genetically modified MJMCMC) described in Hubin et al. (2021) algorithms as well as the subsampling counterpart described in Lachmann et al. (2022) for flexible Bayesian model selection and model averaging.
How to cite:
Jon Lachmann (2023). FBMS: Flexible Bayesian Model Selection and Model Averaging. R package version 1.0, https://cran.r-project.org/web/packages/FBMS. Accessed 17 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited FBMS R package
View FBMS citation profile
Other R packages that FBMS depends, imports, suggests or enhances
Complete documentation for FBMS
Functions, R codes and Examples using the FBMS R package
Full FBMS package functions and examples
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