whatifbandit: Analyzing Randomized Experiments Using Multi-Arm Bandits

Simulates response-adaptive experimental trials using Multi-Arm Bandits. Adaptive robust estimators defined in Hadad et al. (2021) <doi:10.1073/pnas.2014602118> and Offer-Westort et al. (2021) <doi:10.1111/ajps.12597> are used to robustly estimate conditional expectations and treatment effects. Provides significant simulation customization options for imperfect information, non-stationary bandits, and increased exploration strategies for assignments.

Version:	1.0.2
Depends:	R (≥ 4.1.0)
Imports:	bandit, clubSandwich, data.table (≥ 1.18.0), dplyr, estimatr, furrr, lubridate, methods, purrr, randomizr, rlang, tibble, tidyr
Suggests:	future, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-07-23
DOI:	10.32614/CRAN.package.whatifbandit
Author:	Noah Ochital [aut, cre, cph], Ryan T. Moore [ctb, cph]
Maintainer:	Noah Ochital <no9857a at american.edu>
BugReports:	https://github.com/Noch05/whatifbandit/issues
License:	GPL (≥ 3)
URL:	https://github.com/Noch05/whatifbandit
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	whatifbandit results [issues need fixing before 2026-08-21]

Documentation:

Reference manual:	whatifbandit.html , whatifbandit.pdf
Vignettes:	Introduction to '{whatifbandit}' (source)

Downloads:

Package source:	whatifbandit_1.0.2.tar.gz
Windows binaries:	r-devel: whatifbandit_1.0.2.zip, r-release: whatifbandit_1.0.2.zip, r-oldrel: whatifbandit_1.0.2.zip
macOS binaries:	r-release (arm64): whatifbandit_1.0.2.tgz, r-oldrel (arm64): whatifbandit_1.0.2.tgz, r-release (x86_64): whatifbandit_1.0.2.tgz, r-oldrel (x86_64): whatifbandit_1.0.2.tgz
Old sources:	whatifbandit archive

Linking:

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