plot.autoMrP

<code>plot.autoMrP()</code> plots unit-level preference estimates and error bars.

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

plot.autoMrP function

<dl><dt>x</dt>
<dd>An <code>autoMrP()</code> object.</dd>
<dt>algorithm</dt>
<dd>The algorithm/classifier fo which preference estimates are
desired. A character-valued scalar indicating either <code>ebma</code> or the
classifier to be used. Allowed choices are: "ebma", "best_subset", "lasso",
"pca", "gb", "svm", and "mrp". Default is <code>ebma</code>.</dd>
<dt>ci.lvl</dt>
<dd>The level of the confidence intervals. A proportion. Default is
<code>0.95</code>. Confidence intervals are based on bootstrapped estimates and
will not be printed if bootstrapping was not carried out.</dd>
<dt>...</dt>
<dd>Additional arguments affecting the summary produced.</dd></dl>

Arguments

A plot method for autoMrP objects. Plots unit-level preference estiamtes. — plot.autoMrP

<dl>

<dt>x</dt>
<dd>An <code>autoMrP()</code> object.</dd>


<dt>algorithm</dt>
<dd>The algorithm/classifier fo which preference estimates are
desired. A character-valued scalar indicating either <code>ebma</code> or the
classifier to be used. Allowed choices are: "ebma", "best_subset", "lasso",
"pca", "gb", "svm", and "mrp". Default is <code>ebma</code>.</dd>


<dt>ci.lvl</dt>
<dd>The level of the confidence intervals. A proportion. Default is
<code>0.95</code>. Confidence intervals are based on bootstrapped estimates and
will not be printed if bootstrapping was not carried out.</dd>


<dt>...</dt>
<dd>Additional arguments affecting the summary produced.</dd>

</dl>

plot.autoMrP: A plot method for autoMrP objects. Plots unit-level preference estiamtes.

Description

Usage

Value

Arguments