Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models

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Documentation for package ‘spikeSlabGAM’ version 1.1-19

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

evalTerm	Get summaries of the posterior (predictive) distribution of the linear predictor of a model term
fct	Generate design for a factor covariate
getPosteriorTerm	Get the posterior distribution of the linear predictor of a model term
lin	Generate orthogonal polynomial base for a numeric covariate without intercept
mrf	Generate design for a 2-D Gaussian Markov Random Field
plot.spikeSlabGAM	Generates graphical summaries of a fitted model
plotTerm	Plot the estimated effect of a model term.
predict.spikeSlabGAM	Obtain posterior predictive/credible intervals from a spike-and-slab model
print.summary.spikeSlabGAM	Print summary for posterior of a 'spikeSlabGAM' fit
rnd	Generate design for a random intercept
sm	Generate a reparameterized P-spline base
spikeAndSlab	Set up and sample a spike-and-slab prior model.
spikeSlabGAM	Generate posterior samples for a GAMM with spike-and-slab priors
srf	Generate design for penalized surface estimation.
ssGAM2Bugs	Convert samples from a model fitted with 'spikeSlabGAM' into a 'bugs'-object
ssGAMDesign	Generate design and model information for 'spikeSlabGAM'
summary.spikeSlabGAM	Summary for posterior of a 'spikeSlabGAM' fit
u	Generate design for an always included covariate