deep_mrp_classifier

<code>deep_mrp_classifier</code> applies Deep MrP implemented in the vglmer
package to a data set.

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

deep_mrp_classifier function

<dl><dt>y</dt>
<dd>Outcome variable. A character vector containing the column names of
the outcome variable. A character scalar containing the column name of
the outcome variable in <code>survey</code>.</dd>
<dt>form</dt>
<dd>Model formula. A two-sided linear formula describing
the model to be fit, with the outcome on the LHS and the covariates
separated by + operators on the RHS.</dd>
<dt>data</dt>
<dd>Data. A data.frame containing the data used to train the model.</dd>
<dt>verbose</dt>
<dd>Verbose output. A logical argument indicating whether or not
verbose output should be printed. Default is <code>FALSE</code>.</dd></dl>

Arguments

Deep MrP classifier — deep_mrp_classifier

<dl>

<dt>y</dt>
<dd>Outcome variable. A character vector containing the column names of
the outcome variable. A character scalar containing the column name of
the outcome variable in <code>survey</code>.</dd>


<dt>form</dt>
<dd>Model formula. A two-sided linear formula describing
the model to be fit, with the outcome on the LHS and the covariates
separated by + operators on the RHS.</dd>


<dt>data</dt>
<dd>Data. A data.frame containing the data used to train the model.</dd>


<dt>verbose</dt>
<dd>Verbose output. A logical argument indicating whether or not
verbose output should be printed. Default is <code>FALSE</code>.</dd>

</dl>

deep_mrp_classifier: Deep MrP classifier

Description

Usage

Value

Arguments