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:

Reference manual:	banditsCI.html , banditsCI.pdf
Vignettes:	Confidence interval vignette. (source, R code)

Downloads:

Package source:	banditsCI_1.0.0.tar.gz
Windows binaries:	r-devel: banditsCI_1.0.0.zip, r-release: banditsCI_1.0.0.zip, r-oldrel: banditsCI_1.0.0.zip
macOS binaries:	r-release (arm64): banditsCI_1.0.0.tgz, r-oldrel (arm64): banditsCI_1.0.0.tgz, r-release (x86_64): banditsCI_1.0.0.tgz, r-oldrel (x86_64): banditsCI_1.0.0.tgz

Linking:

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