evalTerm

(character) the label of one of the terms in
  <code>model</code>.

label

model

<code>data.frame</code> on which to evaluate
  <code>label</code>. Defaults to NULL, in which case the term is
  evaluated on the original data.

newdata

(function) a summary statistic that is
  applied over the mcmc-samples of the linear predictor.
  Defaults to <code>mean</code>.

aggregate

(numeric) a vector of quantiles for
  borders of credible regions of the linear predictor.
  Defaults to 10 and 90 percent quantiles, i.e. a
  (point-wise) 80 percent credible region.

quantiles

should the relevant original variables
  be included in the returned <code>data.frame</code>? Defaults
  to TRUE.

returnData

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

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

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

Description

Usage

Arguments

Value