spikeSlabGAM: Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models (original) (raw)
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.
| Version: | 1.1-20 |
|---|---|
| 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 |
| Published: | 2024-10-22 |
| DOI: | 10.32614/CRAN.package.spikeSlabGAM |
| Author: | Fabian Scheipl [aut, cre], Bettina Gruen [ctb] |
| Maintainer: | Fabian Scheipl <fabian.scheipl at stat.uni-muenchen.de> |
| License: | MIT + file |
| URL: | https://github.com/fabian-s/spikeSlabGAM |
| NeedsCompilation: | yes |
| Citation: | spikeSlabGAM citation info |
| Materials: | |
| In views: | Bayesian |
| CRAN checks: | spikeSlabGAM results |
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