check_posint

Helper to <code>validate_inputs()</code>. This function accepts the user's
settings for integer arguments and checks if they are valid positive
integers or are a one of the valid strings for the argument.

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

check_posint function

<dl><dt>...</dt>
<dd>Arguments to check.</dd></dl>

Arguments

Checking If Inputs Are Positive Integers or a Valid String — check_posint

<dl>

<dt>...</dt>
<dd>Arguments to check.</dd>

</dl>

check_posint: Checking If Inputs Are Positive Integers or a Valid String

Description

Usage

Value

Arguments