setup_CG_sampler

internal

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

setup_CG_sampler function

<dl><dt>mbs</dt>
<dd>block component containing several model components.</dd>
<dt>X</dt>
<dd>design matrix.</dd>
<dt>sampler</dt>
<dd>sampler object as created by <code>create_sampler</code>.</dd>
<dt>control</dt>
<dd>a list of options for the conjugate gradient algorithm that can be passed
using function <code>CG_control</code>.</dd></dl>

Arguments

Set up conjugate gradient sampler — setup_CG_sampler

<dl>

<dt>mbs</dt>
<dd>block component containing several model components.</dd>


<dt>X</dt>
<dd>design matrix.</dd>


<dt>sampler</dt>
<dd>sampler object as created by <code>create_sampler</code>.</dd>


<dt>control</dt>
<dd>a list of options for the conjugate gradient algorithm that can be passed
using function <code>CG_control</code>.</dd>

</dl>

setup_CG_sampler: Set up conjugate gradient sampler

Description

Usage

Value

Arguments

References