rmclapply

This function applies a function in parallel to a list or vector (<code>X</code>) using multiple cores.
On Linux/macOS, it uses <code>mclapply</code>, while on Windows it uses a hackish version of parallelism.
The Windows version is based on <code>parLapply</code> to mimic forking following Nathan VanHoudnos.

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

rmclapply function

<dl><dt>runs</dt>
<dd>The runs to run</dd>
<dt>args</dt>
<dd>The arguments to pass to fun</dd>
<dt>fun</dt>
<dd>The function to run</dd>
<dt>mc.cores</dt>
<dd>Number of cores to use for parallel processing. Defaults to <code>detectCores()</code>.</dd></dl>

Arguments

rmclapply: Cross-platform mclapply/forking hack for Windows — rmclapply

<dl>

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


<dt>args</dt>
<dd>The arguments to pass to fun</dd>


<dt>fun</dt>
<dd>The function to run</dd>


<dt>mc.cores</dt>
<dd>Number of cores to use for parallel processing. Defaults to <code>detectCores()</code>.</dd>

</dl>

rmclapply: rmclapply: Cross-platform mclapply/forking hack for Windows

Description

Usage

Value

Arguments