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: | 1.1-15 |
Depends: | R (≥ 2.15.1) |
Imports: | akima, coda, cluster, ggplot2 (≥ 2.0.0), gridExtra (≥ 2.0.0), MASS, MCMCpack, mvtnorm, R2WinBUGS, reshape, scales, splines, parallel |
Suggests: | mboost, mlbench, gtable |
Published: | 2020-02-21 |
Author: | Fabian Scheipl [aut, cre], Bettina Gruen [ctb] |
Maintainer: | Fabian Scheipl <fabian.scheipl at stat.uni-muenchen.de> |
License: | CC BY-NC-SA 4.0 |
URL: | https://github.com/fabian-s/spikeSlabGAM |
NeedsCompilation: | yes |
Citation: | spikeSlabGAM citation info |
Materials: | NEWS |
In views: | Bayesian |
CRAN checks: | spikeSlabGAM results |
Reference manual: | spikeSlabGAM.pdf |
Vignettes: |
spikeSlabGAM |
Package source: | spikeSlabGAM_1.1-15.tar.gz |
Windows binaries: | r-devel: spikeSlabGAM_1.1-15.zip, r-release: spikeSlabGAM_1.1-15.zip, r-oldrel: spikeSlabGAM_1.1-15.zip |
macOS binaries: | r-release: spikeSlabGAM_1.1-15.tgz, r-oldrel: spikeSlabGAM_1.1-15.tgz |
Old sources: | spikeSlabGAM archive |
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