summary.standardized_mean_differences

Calls a C++ function to quickly summarize potentially many standardized mean differences.

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

summary.standardized_mean_differences function

<dl><dt>object</dt>
<dd>Object of class <code>standardized_mean_differences</code>.</dd>
<dt>...</dt>
<dd>further arguments passed to summary method.</dd></dl>

Arguments

summary method for class standardized_mean_differences — summary.standardized_mean_differences

<dl>

<dt>object</dt>
<dd>Object of class <code>standardized_mean_differences</code>.</dd>


<dt>...</dt>
<dd>further arguments passed to summary method.</dd>

</dl>

summary.standardized_mean_differences: `summary` method for class `standardized_mean_differences`

Description

Usage

Value

Arguments

References