empty_ei_df

Create a dataframe with NA values for racial and candidate counts.

Provides a comprehensive suite of tools for estimating the candidate preferences of racial/ethnic voting blocs in elections. Includes functions for predicting voter race/ethnicity and conducting ecological inference. Race/ethnicity prediction builds on race prediction developed by Imai et al. (2016) <doi:10.1093/pan/mpw001>. Ecological inference methods are based on King (1997) <ISBN: 0691012407>, <https://gking.harvard.edu/eicamera/kinroot.html>; King et. al. (2004) <ISBN: 0521542804>, <https://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.

Ari Decter-Frain

eiCompare

Compares Different Ecological Inference Methods

Loren Collingwood

Hikari Murayama

Pratik Sachdeva

Juandalyn Burke

Scott Henderson

Spencer Wood

Matt Barreto

empty_ei_df function

<dl><dt>ncand</dt>
<dd>The number of candidates to include</dd>
<dt>nrace</dt>
<dd>The number of race/ethnicitiesto include</dd>
<dt>nrow</dt>
<dd>The number of rows for the dataframe</dd></dl>

Arguments

Create a dataframe with NA values for racial and candidate counts. — empty_ei_df

<dl>

<dt>ncand</dt>
<dd>The number of candidates to include</dd>


<dt>nrace</dt>
<dd>The number of race/ethnicitiesto include</dd>


<dt>nrow</dt>
<dd>The number of rows for the dataframe</dd>

</dl>

empty_ei_df: Create a dataframe with NA values for racial and candidate counts.

Description

Usage

Value

Arguments