Bandit-Based Experiments and Policy Evaluation R package banditsCI version 1.0.0 Frequentist inference on adaptively generated data. The methods implemented are based on Zhan et al. (2021) <doi:10.48550/arXiv.2106.02029> and Hadad et al. (2021) <doi:10.48550/arXiv.1911.02768>. For illustration, several functions for simulating non-contextual and contextual adaptive experiments using Thompson sampling are also supplied. Software Depends: R (>= 3.5.0) Imports: glmnet (>= 4.1-6), MASS (>= 7.3-56), mvtnorm (>= 1.2-2), Rdpack (>= 2.6) Suggests: knitr (>= 1.43), rmarkdown (>= 2.23), testthat (>= 3.0.0) Molly Offer-Westort <mollyow@gmail.com> Comprehensive R Archive Network (CRAN) Molly Offer-Westort [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2787-9919>), Yinghui Zhou [aut] (ORCID: <https://orcid.org/0009-0002-3515-9751>), Ruohan Zhan [aut] (ORCID: <https://orcid.org/0000-0002-3426-2784>) GPL (>= 3) 2024-11-29 application/tgz https://CRAN.R-project.org/package=banditsCI doi:10.32614/CRAN.package.banditsCI