get_outcome_weights

This is a generic method for getting outcome weights.
It calculates the outcome weights for objects created by other packages.
See get_outcome_weight.&lt;compatible_fct&gt; in the package documentation for compatible functions.

Many treatment effect estimators can be written as weighted outcomes.
These weights have established use cases like checking covariate balancing via packages like 'cobalt'.
This package takes the original estimator objects and outputs these outcome weights.
It builds on the general framework of Knaus (2024) <doi:10.48550/arXiv.2411.11559>.
This version is compatible with the 'grf' package and provides an internal implementation of Double Machine Learning.

Knaus Michael C.

OutcomeWeights

Outcome Weights of Treatment Effect Estimators

Michael C. Knaus

Henri Pfleiderer

get_outcome_weights function

<dl><dt>object</dt>
<dd>An object, obtained from other packages.</dd>
<dt>...</dt>
<dd>Additional arguments specific to object class implementations.
See the documentation which object requires which additional arguments.</dd></dl>

Arguments

Outcome weights method — get_outcome_weights

<dl>

<dt>object</dt>
<dd>An object, obtained from other packages.</dd>


<dt>...</dt>
<dd>Additional arguments specific to object class implementations.
See the documentation which object requires which additional arguments.</dd>

</dl>

get_outcome_weights: Outcome weights method

Description

Usage

Value

Arguments

References