verbose_log

Shorthand Function for checking <code>verbose</code> and then printing if TRUE

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

verbose_log function

<dl><dt>log</dt>
<dd>Logical; Whether or not to print the message, this will always be
the <code>verbose</code> argument passed from higher functions.</dd>
<dt>message</dt>
<dd>The message to be printed to screen, as a string.</dd></dl>

Arguments

Verbose Printer — verbose_log

<dl>

<dt>log</dt>
<dd>Logical; Whether or not to print the message, this will always be
the <code>verbose</code> argument passed from higher functions.</dd>


<dt>message</dt>
<dd>The message to be printed to screen, as a string.</dd>

</dl>

verbose_log: Verbose Printer

Description

Usage

Value

Arguments