voters

A dataset of a voting contagion experiment. See Nickerson (2008) for more
details. The variables used in the package vignette are documented here.

datasets

Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.

Bradley Saul

inferference

Methods for Causal Inference with Interference

voters function

a dataset with 21 variables and 7722 rows<ul>
<li>familyhousehold ID</li>
<li>denver1 = subject in Denver, 0 = Minneapolis</li>
<li>treatment1 = voting encouragement, 2 = recycling message, 3 = not contacted</li>
<li>reached1 = subject answered door, 0 = not</li>
<li>hsecontact1 = household contacted by canvassers, 0 = not</li>
<li>voted02p1 = voted in '02 primary, 0 = not</li>
<li>partyparty affiliation</li>
<li>ageage</li>
<li>gendergender</li>
</ul>

voters: Voting Contagion Experiment Data

Description

Arguments

Format

References