This simulated data allows for a quick and easy calculation of a p-value using randomization inference.

datasets

Example data sets to run the example
problems from causal inference textbooks. Currently, contains data
sets for Huntington-Klein, Nick (2021) "The Effect" <https://theeffectbook.net>,
Cunningham, Scott (2021, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape",
and Hern<c3><a1>n, Miguel and James Robins (2020) "Causal Inference: What If"
<https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

Nick Huntington-Klein

causaldata

Example Data Sets for Causal Inference Textbooks

Malcolm Barrett

ri function

A data frame with 8 rows and 5 variables<dl class="dl-horizontal">
 <dt>name</dt><dd>Fictional Name</dd>
 <dt>d</dt><dd>Treatment</dd>
 <dt>y</dt><dd>Outcome</dd>
 <dt>y0</dt><dd>Outcome if untreated</dd>
 <dt>y1</dt><dd>Outcome if treated</dd>
</dl>

Format

A simple simulated data set for calculating p-values — ri

A data frame with 8 rows and 5 variables<dl class='dl-horizontal'>
 <dt>name</dt><dd>Fictional Name</dd>
 <dt>d</dt><dd>Treatment</dd>
 <dt>y</dt><dd>Outcome</dd>
 <dt>y0</dt><dd>Outcome if untreated</dd>
 <dt>y1</dt><dd>Outcome if treated</dd>
</dl>

ri: A simple simulated data set for calculating p-values

Description

Usage

Arguments

Format

Details

References