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.
Version: 1.0.0 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) Published: 2024-11-29 DOI: 10.32614/CRAN.package.banditsCI Author: Molly Offer-Westort [aut, cre, cph], Yinghui Zhou [aut], Ruohan Zhan [aut] Maintainer: Molly Offer-Westort <mollyow at gmail.com> BugReports: https://github.com/UChicago-pol-methods/banditsCI/issues License: GPL (≥ 3) URL: https://github.com/UChicago-pol-methods/banditsCI, https://uchicago-pol-methods.github.io/banditsCI/ NeedsCompilation: no Citation: banditsCI citation info Materials: README NEWS CRAN checks: banditsCI results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=banditsCI to link to this page.
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