Package: gamselBayes
Version: 2.0-3
Date: 2025-05-01
Title: Bayesian Generalized Additive Model Selection
Authors@R: c(person("Virginia X.", "He", role = "aut",
                    email = "virginia.x.he@student.uts.edu.au",
                    comment = c(ORCID = "0000-0002-0238-5018")),
             person("Matt P.", "Wand", role = c("aut","cre"),
                    email = "matt.wand@uts.edu.au",
                    comment = c(ORCID = "0000-0003-2555-896X")))
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
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 (2024) <doi:10.1007/s10182-023-00490-y>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp, methods
Suggests: Ecdat
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-05-26 09:33:17 UTC; root
Author: Virginia X. He [aut] (ORCID:
        <https://orcid.org/0000-0002-0238-5018>), Matt P. Wand [aut,
        cre] (ORCID: <https://orcid.org/0000-0003-2555-896X>)
Repository: https://mattwand.r-universe.dev
Date/Publication: 2025-05-01 07:40:02 UTC
RemoteUrl: https://github.com/cran/gamselBayes
RemoteRef: HEAD
RemoteSha: 9b4bd21971a3185976084c6cc928a131b315b6a2