ssGAM2Bugs

a model fitted with <code>spikeSlabGAM</code>

which parameter blocks to omit from the conversion. Defaults to
omission of \(\alpha, \xi\), and \(\gamma\). Set to NULL to keep all
MCMC samples.

Use <code>plot</code> and <code>print</code> on the returned
<code><a rd-options="R2WinBUGS" href="/link/bugs?package=spikeSlabGAM&version=1.1-19&to=R2WinBUGS" data-mini-rdoc="R2WinBUGS::bugs">bugs</a></code> object for convergence diagnostics. Lack of
convergence for \(\alpha\) or \(\xi\) does not necessarily mean that the
sampler has not converged for \(\beta\).

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.

Fabian Scheipl

spikeSlabGAM

Bayesian Variable Selection and Model Choice for Generalized
Additive Mixed Models

Bettina Gruen

ssGAM2Bugs function

Use <code>plot</code> and <code>print</code> on the returned
<code><a rd-options='R2WinBUGS' href='bugs'>bugs</a></code> object for convergence diagnostics. Lack of
convergence for \(\alpha\) or \(\xi\) does not necessarily mean that the
sampler has not converged for \(\beta\).

ssGAM2Bugs: Convert samples from a model fitted with `spikeSlabGAM` into a `bugs`-object

Description

Usage

Arguments

Value

Examples