banditsCI: Bandit-Based Experiments and Policy Evaluation

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.

Package details

AuthorMolly Offer-Westort [aut, cre, cph] (<https://orcid.org/0000-0003-2787-9919>), Yinghui Zhou [aut] (<https://orcid.org/0009-0002-3515-9751>), Ruohan Zhan [aut] (<https://orcid.org/0000-0002-3426-2784>)
MaintainerMolly Offer-Westort <mollyow@gmail.com>
LicenseGPL (>= 3)
Version1.0.0
URL https://github.com/UChicago-pol-methods/banditsCI https://uchicago-pol-methods.github.io/banditsCI/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("banditsCI")

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banditsCI documentation built on April 12, 2025, 1:42 a.m.