combine_iters

This function is used to combine the results of parallel posterior predictive simulations.

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

combine_iters function

<dl><dt>...</dt>
<dd>objects of class <code>mcdraws</code></dd></dl>

Arguments

Combine multiple mcdraws objects into a single one by combining their draws — combine_iters

<dl>

<dt>...</dt>
<dd>objects of class <code>mcdraws</code></dd>

</dl>

combine_iters: Combine multiple mcdraws objects into a single one by combining their draws

Description

Usage

Value

Arguments