summary.hbal

summary

This function prints a summary from an <code>hbal</code> Object.

Implements hierarchically regularized entropy balancing proposed by Xu and Yang (2022) <doi:10.1017/pan.2022.12>. The method adjusts the covariate distributions of the control group to match those of the treatment group. 'hbal' automatically expands the covariate space to include higher order terms and uses cross-validation to select variable penalties for the balancing conditions.

Yiqing Xu

hbal

Hierarchically Regularized Entropy Balancing

Eddie Yang

summary.hbal function

<dl><dt>object</dt>
<dd>an object of class <code>hbalobject</code> as returned by <code>hbal</code>.</dd><dt>print.level</dt>
<dd>details of printed output: 0 for minimum, 1 for detailed.</dd><dt>...</dt>
<dd>Further arguments to be passed to <code>summary.hbal()</code>.</dd></dl>

Arguments

Author

Summarizing from an hbal Object — summary.hbal

<dl>

<dt>object</dt>
<dd>an object of class <code>hbalobject</code> as returned by <code>hbal</code>.</dd>

<dt>print.level</dt>
<dd>details of printed output: 0 for minimum, 1 for detailed.</dd>

<dt>...</dt>
<dd>Further arguments to be passed to <code>summary.hbal()</code>.</dd>

</dl>

summary.hbal: Summarizing from an `hbal` Object

Description

Usage

Value

Arguments

Author