mbd_two_minority

Extract posterior means and credible intervals. Need to call variables V1,
V2. When two=FALSE, add in V3; Race names = VtdAVap_cor, VtdMVap_cor

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

mbd_two_minority function

<dl><dt>md</dt>
<dd>object from ei.MD.bayes() return</dd>
<dt>colnames</dt>
<dd>Vector of candidate names. Stick to c(V1,V2) or c(V1,V2,V3)</dd>
<dt>two</dt>
<dd>Logical. Two candidates (TRUE), or three (FALSE)</dd></dl>

Arguments

Loren Collingwood &lt;loren.collingwood@ucr.edu&gt;

Author

Multinomial Dirichlet Bayes Draw Two Candidates, and White/Minority voters — mbd_two_minority

<dl>

<dt>md</dt>
<dd>object from ei.MD.bayes() return</dd>


<dt>colnames</dt>
<dd>Vector of candidate names. Stick to c(V1,V2) or c(V1,V2,V3)</dd>


<dt>two</dt>
<dd>Logical. Two candidates (TRUE), or three (FALSE)</dd>

</dl>

mbd_two_minority: Multinomial Dirichlet Bayes Draw Two Candidates, and White/Minority voters

Description

Usage

Value

Arguments

Author