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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=banditsCI
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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