Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models R package spikeSlabGAM version 1.1-20 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors. Software Depends: R (>= 2.15.1) Imports: coda, cluster, ggplot2 (>= 2.0.0), gridExtra (>= 2.0.0), interp, MASS, MCMCpack, mvtnorm, R2WinBUGS, reshape, scales, splines, parallel Suggests: mboost, mlbench, gtable, knitr, rmarkdown Fabian Scheipl <fabian.scheipl@stat.uni-muenchen.de> Comprehensive R Archive Network (CRAN) Fabian Scheipl [aut, cre], Bettina Gruen [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=spikeSlabGAM/LICENSE) 2024-10-22 application/tgz https://CRAN.R-project.org/package=spikeSlabGAM doi:10.32614/CRAN.package.spikeSlabGAM