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gamselBayes
View on CRAN: Click
here
Download and install gamselBayes package within the R console
Install from CRAN:
install.packages("gamselBayes")
Install from Github:
library("remotes")
install_github("cran/gamselBayes") Install by package version:
library("remotes")
install_version("gamselBayes", "2.0-3") Attach the package and use:
library("gamselBayes")
Maintained by
Matt P. Wand
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-20
Latest Update: 2025-05-01
Description:
Generalized additive model selection via approximate Bayesian inference is provided. Bayesian mixed model-based penalized splines with spike-and-slab-type coefficient prior distributions are used to facilitate fitting and selection. The approximate Bayesian inference engine options are: (1) Markov chain Monte Carlo and (2) mean field variational Bayes. Markov chain Monte Carlo has better Bayesian inferential accuracy, but requires a longer run-time. Mean field variational Bayes is faster, but less accurate. The methodology is described in He and Wand (2023) .
How to cite:
Matt P. Wand (2022). gamselBayes: Bayesian Generalized Additive Model Selection. R package version 2.0-3, https://cran.r-project.org/web/packages/gamselBayes. Accessed 29 Oct. 2026.
Previous versions and publish date:
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Other R packages that gamselBayes depends,
imports, suggests or enhances
Complete documentation for gamselBayes
Functions, R codes and Examples using
the gamselBayes R package
Some associated functions: checkChains . effectTypes . effectTypesVector . gamselBayes.control . gamselBayes . gamselBayesUpdate . gamselBayesVignette . plot.gamselBayes . predict.gamselBayes . summary.gamselBayes .
Some associated R codes: RcppExports.R . Full gamselBayes package functions and examples
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