Package: gamselBayes 2.0-2
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:
gamselBayes_2.0-2.tar.gz
gamselBayes_2.0-2.zip(r-4.5)gamselBayes_2.0-2.zip(r-4.4)gamselBayes_2.0-2.zip(r-4.3)
gamselBayes_2.0-2.tgz(r-4.5-x86_64)gamselBayes_2.0-1.tgz(r-4.5-arm64)gamselBayes_2.0-2.tgz(r-4.4-x86_64)gamselBayes_2.0-2.tgz(r-4.4-arm64)gamselBayes_2.0-2.tgz(r-4.3-x86_64)gamselBayes_2.0-2.tgz(r-4.3-arm64)
gamselBayes_2.0-2.tar.gz(r-4.5-noble)gamselBayes_2.0-2.tar.gz(r-4.4-noble)
gamselBayes_2.0-2.tgz(r-4.4-emscripten)gamselBayes_2.0-2.tgz(r-4.3-emscripten)
gamselBayes.pdf |gamselBayes.html✨
gamselBayes/json (API)
| # Install 'gamselBayes' in R: |
| install.packages('gamselBayes', repos = c('https://mattwand.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 25 days agofrom:5d790c170e. Checks:10 OK, 1 FAILURE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 12 2025 |
| R-4.5-win-x86_64 | OK | Feb 12 2025 |
| R-4.5-mac-x86_64 | OK | Feb 12 2025 |
| R-4.5-mac-aarch64 | OUTDATED | Feb 05 2025 |
| R-4.5-linux-x86_64 | OK | Feb 12 2025 |
| R-4.4-win-x86_64 | OK | Feb 12 2025 |
| R-4.4-mac-x86_64 | OK | Feb 12 2025 |
| R-4.4-mac-aarch64 | OK | Feb 12 2025 |
| R-4.3-win-x86_64 | OK | Feb 12 2025 |
| R-4.3-mac-x86_64 | OK | Feb 12 2025 |
| R-4.3-mac-aarch64 | OK | Feb 12 2025 |
Exports:checkChainseffectTypeseffectTypesVectorgamselBayesgamselBayes.controlgamselBayesUpdategamselBayesVignette
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check Markov chain Monte Carlo samples | checkChains |
| Tabulate the estimated effect types from a Bayesian generalized additive model object | effectTypes |
| Obtain the estimated effect types from a Bayesian generalized additive model object | effectTypesVector |
| Bayesian generalized additive model selection including a fast variational option | gamselBayes |
| Controlling Bayesian generalized additive model selection | gamselBayes.control |
| Update a 'gamselBayes()' fit object. | gamselBayesUpdate |
| Display the package's vignette. | gamselBayesVignette |
| Plot components of the selected generalized additive model from a 'gamselBayes()' fit | plot.gamselBayes |
| Obtain predictions from a 'gamselBayes()' fit | predict.gamselBayes |
| Summarise components of the selected generalized additive model from a 'gamselBayes()' fit | summary.gamselBayes |
