Package: gamselBayes 2.0-2

Matt P. Wand

gamselBayes: Bayesian Generalized Additive Model Selection

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 (2024) <doi:10.1007/s10182-023-00490-y>.

Authors:Virginia X. He [aut], Matt P. Wand [aut, cre]

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gamselBayes.pdf |gamselBayes.html✨
gamselBayes/json (API)

# Install 'gamselBayes' in R:
install.packages('gamselBayes', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.00 score 398 downloads 7 exports 2 dependencies

Last updated 2 months agofrom:5d790c170e. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 14 2025
R-4.5-linux-x86_64OKMar 14 2025
R-4.4-linux-x86_64OKMar 14 2025

Exports:checkChainseffectTypeseffectTypesVectorgamselBayesgamselBayes.controlgamselBayesUpdategamselBayesVignette

Dependencies:RcppRcppArmadillo

gamselBayes User Manual

Rendered frommanual.Rnwusingutils::Sweaveon Mar 14 2025.

Last update: 2023-04-12
Started: 2022-01-20

Citation

To cite package ‘gamselBayes’ in publications use:

He V, Wand M (2025). gamselBayes: Bayesian Generalized Additive Model Selection. R package version 2.0-2, https://CRAN.R-project.org/package=gamselBayes.

Corresponding BibTeX entry: 

  @Manual{,
    title = {gamselBayes: Bayesian Generalized Additive Model
      Selection},
    author = {Virginia X. He and Matt P. Wand},
    year = {2025},
    note = {R package version 2.0-2},
    url = {https://CRAN.R-project.org/package=gamselBayes},
  }