plot_estimates

Plot summary of AIPW estimates and variances for each treatment arm.

internal

Simulates the results of completed randomized controlled
trials, as if they had been conducted as adaptive Multi-Arm Bandit
(MAB) trials instead. Augmented inverse probability weighted
estimation (AIPW), outlined by Hadad et al. (2021)
<doi:10.1073/pnas.2014602118>, is used to robustly estimate the
probability of success for each treatment arm under the adaptive
design. Provides customization options to simulate perfect/imperfect
information, stationary/non-stationary bandits, blocked treatment
assignments, along with control augmentation, and other hybrid
strategies for assigning treatment arms. The methods used in
simulation were inspired by Offer-Westort et al. (2021)
<doi:10.1111/ajps.12597>.

Noah Ochital

whatifbandit

Analyzing Randomized Experiments as Multi-Arm Bandits

Ryan T. Moore

plot_estimates function

<dl><dt>x</dt>
<dd>A <code>mab</code> class object created by <code>single_mab_simulation()</code></dd>
<dt>level</dt>
<dd>Numeric value of length 1; indicates confidence interval Width (i.e 0.90, 0.95, 0.99).
Defaults to 0.95.</dd>
<dt>...</dt>
<dd>Arguments to pass to <code>ggplot2::geom_*</code> function (e.g. <code>color</code>, <code>linewidth</code>, <code>alpha</code>, <code>bins</code> etc.).</dd></dl>

Arguments

Plot AIPW Estimates — plot_estimates

<dl>

<dt>x</dt>
<dd>A <code>mab</code> class object created by <code>single_mab_simulation()</code></dd>


<dt>level</dt>
<dd>Numeric value of length 1; indicates confidence interval Width (i.e 0.90, 0.95, 0.99).
Defaults to 0.95.</dd>


<dt>...</dt>
<dd>Arguments to pass to <code>ggplot2::geom_*</code> function (e.g. <code>color</code>, <code>linewidth</code>, <code>alpha</code>, <code>bins</code> etc.).</dd>

</dl>

plot_estimates: Plot AIPW Estimates

Description

Usage

Value

Arguments