  The R package spikeSlabGAM implements Bayesian variable selection, model
choice, and regularized estimation in (geo-)additive mixed models for Gaussian,
binomial, and Poisson responses. Its purpose is to (1) choose an appropriate
subset of potential covariates and their interactions, (2) to determine whether
linear or more flexible functional forms are required to model the effects of
the respective covariates, and (3) to estimate their shapes. Selection and
regularization of the model terms is based on a novel spike-and-slab-type prior
on coefficient groups associated with parametric and semi-parametric effects.
