plot_mult_estimates

Plots the uncertainty AIPW estimates for each arm using the specified variance from the repeated trials for <code>plot.multiple.mab()</code>.

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_mult_estimates function

<dl><dt>x</dt>
<dd>A <code>multiple.mab</code> class object created by <code>multiple_mab_simulation()</code>.</dd>
<dt>cdf</dt>
<dd>String; specifies the type of CDF to use when analyzing the estimates.
valid CDFs are the 'empirical' CDF, the 'normal' CDF. Used when type = <code>estimate</code>. The 'normal' CDF uses the fact
that the AIPW estimates are asymptotically normal, while the empirical CDF (eCDF) estimates the CDF from the sample
of AIPW estimates.</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.). In the case of <code>type = "hist"</code>, additional
arguments must be passed in to distinct lists, one named <code>geom</code> which are passed to <code>ggplot2::geom_*</code>
and one named <code>facet</code> which are passed to <code><a href="https://ggplot2.tidyverse.org/reference/facet_grid.html">ggplot2::facet_grid</a></code>.</dd></dl>

Arguments

Plots AIPW Confidence Intervals — plot_mult_estimates

<dl>

<dt>x</dt>
<dd>A <code>multiple.mab</code> class object created by <code>multiple_mab_simulation()</code>.</dd>


<dt>cdf</dt>
<dd>String; specifies the type of CDF to use when analyzing the estimates.
valid CDFs are the 'empirical' CDF, the 'normal' CDF. Used when type = <code>estimate</code>. The 'normal' CDF uses the fact
that the AIPW estimates are asymptotically normal, while the empirical CDF (eCDF) estimates the CDF from the sample
of AIPW estimates.</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.). In the case of <code>type = "hist"</code>, additional
arguments must be passed in to distinct lists, one named <code>geom</code> which are passed to <code>ggplot2::geom_*</code>
and one named <code>facet</code> which are passed to <code><a href='https://ggplot2.tidyverse.org/reference/facet_grid.html'>ggplot2::facet_grid</a></code>.</dd>

</dl>

plot_mult_estimates: Plots AIPW Confidence Intervals

Description

Usage

Value

Arguments