Bayesian variable selection and model choice for generalized additive mixed models


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Documentation for package ‘spikeSlabGAM’ version 1.0-0

Help Pages

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