plot_CI.hte

Plot the uniform confidence interval

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_CI.hte function

<dl><dt>x</dt>
<dd>An object of <code>evaluate_hte()</code> class. This is typically an output of <code>evaluate_hte()</code> function.</dd>
<dt>alpha</dt>
<dd>Significance level. Default is 0.05.</dd>
<dt>...</dt>
<dd>Further arguments passed to the function.</dd></dl>

Arguments

Plot the uniform confidence interval — plot_CI.hte

<dl>

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


<dt>alpha</dt>
<dd>Significance level. Default is 0.05.</dd>


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

</dl>

plot_CI.hte: Plot the uniform confidence interval

Description

Usage

Value

Arguments