gridSearch-class

internal

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

gridSearch-class function

<dl>
<dt><code>penalty_list</code></dt>
<dd>numeric.</dd></dl>
<dt><code>nboot</code></dt>
<dd>integer.</dd>
<dt><code>solver</code></dt>
<dd>R6.</dd>
<dt><code>method</code></dt>
<dd>character.</dd>
<dt><code>estimand</code></dt>
<dd>character.</dd>

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gridSearch S4 class — gridSearch-class

<dl>
<dt><code>penalty_list</code></dt>
<dd>numeric.</dd>


<dt><code>nboot</code></dt>
<dd>integer.</dd>


<dt><code>solver</code></dt>
<dd>R6.</dd>


<dt><code>method</code></dt>
<dd>character.</dd>


<dt><code>estimand</code></dt>
<dd>character.</dd>


</dl>

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gridSearch-class: gridSearch S4 class

Description

Arguments

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