print.policyFX

<p>User may specify integer <code>nrows</code>.</p>

<p>Prints a summary of the estimates from a policyFX object</p>

Estimating causal effects from observational studies assuming
clustered (or partial) interference. These inverse probability-weighted
estimators target new estimands arising from population-level treatment
policies. The estimands and estimators are introduced in Barkley et al.
(2017) <arXiv:1711.04834>.

Brian G. Barkley

clusteredinterference

print.policyFX: Prints a summary of the estimates from a policyFX object

Description

Usage

Arguments