ESS,numeric-method

ESS,causalWeights-method

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

ESS function

<dl><dt>x</dt>
<dd>Either a vector of weights summing to 1 or an object of class
causalWeights</dd></dl>

Arguments

<ul>
<li><code>ESS(numeric)</code>: default ESS method for numeric vectors</li>
<li><code>ESS(causalWeights)</code>: ESS method for objects of class causalWeights</li>
</ul>

Methods (by class)

Effective Sample Size — ESS

<dl>

<dt>x</dt>
<dd>Either a vector of weights summing to 1 or an object of class
causalWeights</dd>

</dl>

ESS: Effective Sample Size

Description

Usage

Value

Arguments

Methods (by class)

Details

See Also

Examples