Analyzing Randomized Experiments Using Multi-Arm Bandits R package whatifbandit version 1.0.2 Simulates response-adaptive experimental trials using Multi-Arm Bandits. Adaptive robust estimators defined in Hadad et al. (2021) <doi:10.1073/pnas.2014602118> and Offer-Westort et al. (2021) <doi:10.1111/ajps.12597> are used to robustly estimate conditional expectations and treatment effects. Provides significant simulation customization options for imperfect information, non-stationary bandits, and increased exploration strategies for assignments. Software Depends: R (>= 4.1.0) Imports: bandit, clubSandwich, data.table (>= 1.18.0), dplyr, estimatr, furrr, lubridate, methods, purrr, randomizr, rlang, tibble, tidyr Suggests: future, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0) Noah Ochital <no9857a@american.edu> Comprehensive R Archive Network (CRAN) Noah Ochital [aut, cre, cph] (ORCID: <https://orcid.org/0009-0009-0398-2963>), Ryan T. Moore [ctb, cph] (ORCID: <https://orcid.org/0000-0002-3916-8113>) GPL (>= 3) 2026-07-23 application/tgz https://CRAN.R-project.org/package=whatifbandit doi:10.32614/CRAN.package.whatifbandit