multicore

<code>multicore()</code> registers cores for parallel processing.

A tool that improves the prediction performance of multilevel
regression with post-stratification (MrP) by combining a number of machine
learning methods. For information on the method, please refer to Broniecki,
Wüest, Leemann (2020) ''Improving Multilevel Regression with
Post-Stratification Through Machine Learning (autoMrP)'' in the
'Journal of Politics'. Final pre-print version:
<https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.

Philipp Broniecki

autoMrP

Improving MrP with Ensemble Learning

Reto Wüest

Lucas Leemann

Florian Schaffner

Hadley Wickham

multicore function

<dl><dt>cores</dt>
<dd>Number of cores to be used. An integer. Default is <code>1</code>.</dd>
<dt>type</dt>
<dd>Whether to start or end parallel processing. A character string.
The possible values are <code>open</code>, <code>close</code>.</dd>
<dt>cl</dt>
<dd>The registered cluster. Default is <code>NULL</code></dd></dl>

Arguments

Register cores for multicore computing — multicore

<dl>

<dt>cores</dt>
<dd>Number of cores to be used. An integer. Default is <code>1</code>.</dd>


<dt>type</dt>
<dd>Whether to start or end parallel processing. A character string.
The possible values are <code>open</code>, <code>close</code>.</dd>


<dt>cl</dt>
<dd>The registered cluster. Default is <code>NULL</code></dd>

</dl>

multicore: Register cores for multicore computing

Description

Usage

Value

Arguments