# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "whatifbandit" in publications use:' type: software license: GPL-3.0-or-later title: 'whatifbandit: Analyzing Randomized Experiments as Multi-Arm Bandits' version: 0.3.0.9001 doi: 10.32614/CRAN.package.whatifbandit abstract: 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) , 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) . authors: - family-names: Ochital given-names: Noah email: noahochital@icloud.com orcid: https://orcid.org/0009-0009-0398-2963 repository: https://noch05.r-universe.dev repository-code: https://github.com/Noch05/whatifbandit commit: 6e7cf0c1d8f4297c561bfa3733451e5178c8eaed url: https://github.com/Noch05/whatifbandit date-released: '2026-02-28' contact: - family-names: Ochital given-names: Noah email: noahochital@icloud.com orcid: https://orcid.org/0009-0009-0398-2963