Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models
Get summaries of the posterior (predictive) distribution of the linear...
Generate design for a factor covariate
Get the posterior distribution of the linear predictor of a model term
Generate orthogonal polynomial base for a numeric covariate without in...
Generate design for a 2-D Gaussian Markov Random Field
Generates graphical summaries of a fitted model
Plot the estimated effect of a model term.
Obtain posterior predictive/credible intervals from a spike-and-slab m...
Print summary for posterior of a spikeSlabGAM fit
Generate design for a random intercept
Generate a reparameterized P-spline base
Set up and sample a spike-and-slab prior model.
Generate posterior samples for a GAMM with spike-and-slab priors
Generate design for penalized surface estimation.
Convert samples from a model fitted with spikeSlabGAM into a bugs-...
Generate design and model information for spikeSlabGAM
Summary for posterior of a spikeSlabGAM fit
Generate design for an always included covariate
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.