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 |
Documentation:
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