plot.itr

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.itr function

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

Arguments

Plot the AUPEC curve — plot.itr

<dl>

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


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

</dl>

plot.itr: Plot the AUPEC curve

Description

Usage

Value

Arguments