plot.hte

Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) <doi:10.48550/arXiv.2310.07973>.

Michael Lingzhi Li

evalHTE

Evaluating Heterogeneous Treatment Effects

Kosuke Imai

Jialu Li

plot.hte function

<dl><dt>x</dt>
<dd>An table object. This is typically an output of <code>evaluate_hte()</code> function.</dd>
<dt>...</dt>
<dd>Further arguments passed to the function.</dd></dl>

Arguments

Plot the GATE estimate — plot.hte

<dl>

<dt>x</dt>
<dd>An table object. This is typically an output of <code>evaluate_hte()</code> function.</dd>


<dt>...</dt>
<dd>Further arguments passed to the function.</dd>

</dl>

plot.hte: Plot the GATE estimate

Description

Usage

Value

Arguments