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 |
Documentation:
Downloads:
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