mjmcmc.parallel

Run multiple mjmcmc runs in parallel, merging the results before returning.

Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in <doi:10.1016/j.csda.2018.05.020> and its Genetically Modified counterpart described in <doi:10.1613/jair.1.13047> as well as the sub-sampling versions described in <doi:10.1016/j.ijar.2022.08.018> for flexible Bayesian model selection and model averaging.

Jon Lachmann

FBMS

Flexible Bayesian Model Selection and Model Averaging

Aliaksandr Hubin

mjmcmc.parallel function

<dl><dt>runs</dt>
<dd>The number of runs to run</dd>
<dt>cores</dt>
<dd>The number of cores to run on</dd>
<dt>...</dt>
<dd>Further parameters passed to mjmcmc.</dd></dl>

Arguments

Run multiple mjmcmc runs in parallel, merging the results before returning. — mjmcmc.parallel

<dl>

<dt>runs</dt>
<dd>The number of runs to run</dd>


<dt>cores</dt>
<dd>The number of cores to run on</dd>


<dt>...</dt>
<dd>Further parameters passed to mjmcmc.</dd>

</dl>

mjmcmc.parallel: Run multiple mjmcmc runs in parallel, merging the results before returning.

Description

Usage

Value

Arguments

Examples