causalWeights-class

Uses optimal transport distances to find probabilistic
matching estimators for causal inference.
These methods are described in Dunipace, Eric (2021) <arXiv:2109.01991>.
The package will build the weights, estimate treatment effects, and
calculate confidence intervals via the methods described in the paper.
The package also supports several other methods as described in the help
files.

Eric Dunipace

causalOT

Optimal Transport Weights for Causal Inference

causalWeights-class function

<dl>
<dt><code>w0</code></dt>
<dd>A slot with the weights for the control group with \(n_0\) entries. Weights sum to 1.</dd></dl>
<dt><code>w1</code></dt>
<dd>The weights for the treated group with \(n_1\) entries. Weights sum to 1.</dd>
<dt><code>estimand</code></dt>
<dd>A character denoting the estimand targeted by the weights. One of "ATT","ATC", or "ATE".</dd>
<dt><code>info</code></dt>
<dd>A slot to store a variety of info for inference. Currently under development.</dd>
<dt><code>method</code></dt>
<dd>A character denoting the method used to estimate the weights.</dd>
<dt><code>penalty</code></dt>
<dd>A list or the selected penalty parameters, if relevant.</dd>
<dt><code>data</code></dt>
<dd>The dataHolder object containing the original data.</dd>
<dt><code>call</code></dt>
<dd>The call used to construct the weights.</dd>

Slots

causalWeights class — causalWeights-class

<dl>
<dt><code>w0</code></dt>
<dd>A slot with the weights for the control group with \(n_0\) entries. Weights sum to 1.</dd>


<dt><code>w1</code></dt>
<dd>The weights for the treated group with \(n_1\) entries. Weights sum to 1.</dd>


<dt><code>estimand</code></dt>
<dd>A character denoting the estimand targeted by the weights. One of "ATT","ATC", or "ATE".</dd>


<dt><code>info</code></dt>
<dd>A slot to store a variety of info for inference. Currently under development.</dd>


<dt><code>method</code></dt>
<dd>A character denoting the method used to estimate the weights.</dd>


<dt><code>penalty</code></dt>
<dd>A list or the selected penalty parameters, if relevant.</dd>


<dt><code>data</code></dt>
<dd>The dataHolder object containing the original data.</dd>


<dt><code>call</code></dt>
<dd>The call used to construct the weights.</dd>


</dl>

causalWeights-class: causalWeights class

Description

Arguments

Slots

Details