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.
| 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 |
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