output_table

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

output_table function

<dl><dt>object</dt>
<dd>An <code>autoMrP()</code> object for which a summary is desired.</dd>
<dt>col.names</dt>
<dd>The column names of the table. A</dd>
<dt>format</dt>
<dd>The table format. A character string passed to
<code><a href="/link/kable?package=autoMrP&version=1.0.6" data-mini-rdoc="autoMrP::kable">kable</a></code>. Default is <code>simple</code>.</dd>
<dt>digits</dt>
<dd>The number of digits to be displayed. An integer scalar.
Default is <code>4</code>.</dd></dl>

Arguments

A table for the summary  function — output_table

<dl>

<dt>object</dt>
<dd>An <code>autoMrP()</code> object for which a summary is desired.</dd>


<dt>col.names</dt>
<dd>The column names of the table. A</dd>


<dt>format</dt>
<dd>The table format. A character string passed to
<code><a href='https://rdrr.io/pkg/knitr/man/kable.html'>kable</a></code>. Default is <code>simple</code>.</dd>


<dt>digits</dt>
<dd>The number of digits to be displayed. An integer scalar.
Default is <code>4</code>.</dd>

</dl>

A table for the summary  function

output_table: A table for the summary function

Description

Usage

Value

Arguments