plot_estimate

Provides various statistical methods for evaluating
Individualized Treatment Rules under randomized data. The provided
metrics include Population Average Value (PAV), Population Average
Prescription Effect (PAPE), Area Under Prescription Effect Curve
(AUPEC). It also provides the tools to analyze Individualized
Treatment Rules under budget constraints. Detailed reference in Imai
and Li (2019) <arXiv:1905.05389>.

Michael Lingzhi Li

evalITR

Evaluating Individualized Treatment Rules

Kosuke Imai

Jialu Li

Xiaolong Yang

plot_estimate function

<dl><dt>x</dt>
<dd>An table object. This is typically an output of <code>evaluate_itr()</code> function.</dd>
<dt>type</dt>
<dd>The metric that you wish to plot. One of GATE, PAPE, PAPEp, or PAPDp.</dd>
<dt>...</dt>
<dd>Further arguments passed to the function.</dd></dl>

Arguments

Plot the GATE estimate — plot_estimate

<dl>

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


<dt>type</dt>
<dd>The metric that you wish to plot. One of GATE, PAPE, PAPEp, or PAPDp.</dd>


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

</dl>

plot_estimate: Plot the GATE estimate

Description

Usage

Value

Arguments