check_diffs

This function checks conditions inputted to clean_race by the user

internal

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

check_diffs function

<dl><dt>vote_sums</dt>
<dd>A numeric vector containing the sums of votes by each
race/ethnicity</dd>
<dt>provided_totals</dt>
<dd>A numeric vector containing the totals provided to the
clean_race function</dd>
<dt>max_dev</dt>
<dd>A floating point object passed from clean_race</dd>
<dt>avg_dev</dt>
<dd>A floating point object passed from clean_race</dd></dl>

Arguments

Author

Internal function that checks for adequate closeness between sums
of race/candidate columns and provided vote totals. — check_diffs

<dl>

<dt>vote_sums</dt>
<dd>A numeric vector containing the sums of votes by each
race/ethnicity</dd>


<dt>provided_totals</dt>
<dd>A numeric vector containing the totals provided to the
clean_race function</dd>


<dt>max_dev</dt>
<dd>A floating point object passed from clean_race</dd>


<dt>avg_dev</dt>
<dd>A floating point object passed from clean_race</dd>

</dl>

Internal function that checks for adequate closeness between sums
of race/candidate columns and provided vote totals.

check_diffs: Internal function that checks for adequate closeness between sums of race/candidate columns and provided vote totals.

Description

Usage

Value

Arguments

Author

Details