print_mab

Common items for the print generics for <code>mab</code> and <code>multiple.mab</code> classes

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

print_mab function

<dl><dt>mab</dt>
<dd>A <code>mab</code> or <code>multiple.mab</code> object.</dd></dl>

Arguments

Print Helper for mab and multiple.mab — print_mab

<dl>

<dt>mab</dt>
<dd>A <code>mab</code> or <code>multiple.mab</code> object.</dd>

</dl>

print_mab: Print Helper for `mab` and `multiple.mab`

Description

Usage

Value

Arguments