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.


News

spikeSlabGAM 1.1-11 (2016-02-26) ----------------------------------------

  • maintenance update for keeping up with ggplot2 2.0

spikeSlabGAM 1.1-10 (2015-09-28) ----------------------------------------

  • fixed parallelization for Windows (thx, Hairong Gu!)

spikeSlabGAM 1.1-9 (2015-07-22) ----------------------------------------

  • updated plot functions for gridExtra 2.0-0
  • changed license to CC BY-NC-SA 4.0

spikeSlabGAM 1.1-8 (2014-11-26) ----------------------------------------

  • changed license from CC BY-NC-SA 3.0 to GPL-3
  • updated parallelization code since package "parallel" is now part of the base distribution

Reference manual

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install.packages("spikeSlabGAM")

1.1-11 by Fabian Scheipl, 2 years ago


https://github.com/fabian-s/spikeSlabGAM


Browse source code at https://github.com/cran/spikeSlabGAM


Authors: Fabian Scheipl <fabian.scheipl@stat.uni-muenchen.de>


Documentation:   PDF Manual  


Task views: Bayesian Inference


CC BY-NC-SA 4.0 license


Imports akima, coda, cluster, ggplot2, gridExtra, MASS, MCMCpack, mvtnorm, R2WinBUGS, reshape, scales, splines, parallel

Suggests mboost, mlbench, gtable


See at CRAN