spikeSlabGAM: Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models

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-devel-UCRT: spikeSlabGAM_1.1-15.zip, r-release: spikeSlabGAM_1.1-15.zip, r-oldrel: spikeSlabGAM_1.1-15.zip
macOS binaries: r-release (arm64): spikeSlabGAM_1.1-15.tgz, r-release (x86_64): spikeSlabGAM_1.1-15.tgz, r-oldrel: spikeSlabGAM_1.1-15.tgz
Old sources: spikeSlabGAM archive


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