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spikeSlabGAM (version 0.9-6)

Bayesian variable selection and model choice for generalized additive mixed models

Description

Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via SSVS with spike-and-slab priors.

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Version

Install

install.packages('spikeSlabGAM')

Monthly Downloads

736

Version

0.9-6

License

GPL (>= 2)

Maintainer

Fabian Scheipl

Last Published

April 26th, 2011

Functions in spikeSlabGAM (0.9-6)

spikeSlabGAM

Generate posterior samples for a GAMM with spike-and-slab priors...

print.summary.spikeSlabGAM

Print summary for posterior of a spikeSlabGAM fit...

srf

Generate design for penalized surface estimation.

summary.spikeSlabGAM

Summary for posterior of a spikeSlabGAM fit...

predict.spikeSlabGAM

Obtain posterior predictive/credible intervals from a spike-and-slab model...

ssGAMDesign

Generate design and model information for spikeSlabGAM...

arrange.ggplots

Arrange multiple ggplots on the same device, trying to align axes etc.

fct

Generate design for a factor covariate...

plotTerm

Plot the estimated effect of a model term.

rnd

Generate design for a random intercept...

Generate design for an always included covariate...

plot.spikeSlabGAM

Generates graphical summaries of a fitted model...

spikeAndSlab

Set up and sample a spike-and-slab prior model.

lin

Generate orthogonal polynomial base for a numeric covariate...

mrf

Generate design for a 2-D Gaussian Markov Random Field...

ssGAM2Bugs

Convert samples from a model fitted with spikeSlabGAM into a bugs-object...

Generate a reparameterized P-spline base...

getPosteriorTerm

Get the posterior distribution of the linear predictor of a model term...

evalTerm

Get summaries of the posterior (predictive) distribution of the linear predictor of a model term...