gaussian_control

Set computational options for the sampling algorithms

Fit multi-level models with possibly correlated
random effects using Markov Chain Monte Carlo simulation.
Such models allow smoothing over space and time and are useful in,
for example, small area estimation.

Harm Jan Boonstra

mcmcsae

Markov Chain Monte Carlo Small Area Estimation

Grzegorz Baltissen

gaussian_control function

<dl><dt>block.V</dt>
<dd>if <code>TRUE</code>, the default, all coefficients of <code>reg</code>
and <code>gen</code> components in a variance model formula are sampled in a
single block. Alternatively, a list of character vectors with names of
model components whose coefficients should be sampled together in blocks.</dd></dl>

Arguments

Set computational options for the sampling algorithms — gaussian_control

<dl>

<dt>block.V</dt>
<dd>if <code>TRUE</code>, the default, all coefficients of <code>reg</code>
and <code>gen</code> components in a variance model formula are sampled in a
single block. Alternatively, a list of character vectors with names of
model components whose coefficients should be sampled together in blocks.</dd>

</dl>

gaussian_control: Set computational options for the sampling algorithms

Description

Usage

Value

Arguments