plot.hbal

plot

This function plots the covariate difference between the control and treatment groups in standardized means before and after weighting and the distribution of balancing weights.

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

plot.hbal function

<dl><dt>x</dt>
<dd>an object of class <code>hbalobject</code> as returned by <code>hbal</code>.</dd><dt>type</dt>
<dd>type of graph to plot, either 'balance' or 'weight'.</dd><dt>log</dt>
<dd>binary indicator for logrithmic scale when <code>type = 'weight'</code>.</dd><dt>base_size</dt>
<dd>base font size for lables when <code>type = 'balance'</code>.</dd><dt>...</dt>
<dd>Further arguments to be passed to <code>plot.hbal()</code>.</dd></dl>

Arguments

Author

Plotting Covariate Balance from an hbal Object — plot.hbal

<dl>

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

<dt>type</dt>
<dd>type of graph to plot, either 'balance' or 'weight'.</dd>

<dt>log</dt>
<dd>binary indicator for logrithmic scale when <code>type = 'weight'</code>.</dd>

<dt>base_size</dt>
<dd>base font size for lables when <code>type = 'balance'</code>.</dd>

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

</dl>

plot.hbal: Plotting Covariate Balance from an `hbal` Object

Description

Usage

Value

Arguments

Author