R Observatory: Metrics for whatifbandit version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

whatifbandit

1.0.3Package record

Analyzing Randomized Experiments Using Multi-Arm Bandits

0packages depend

2.4Kdownloads / year

89.3%test coverage

13/13flavors OK

Overview

About

Maintained by Noah OchitalCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 1.0.3

Bug Fixes

Fixing CRAN identified bug with data.frame, data.table equality on NoLD R build.
For mab_from_rct() imputations are no computed using stats::rbinom() with appropriate probabilities instead of randomizr::block_ra(). This new approach increases the variance of the imputations, but was a planned change to support custom imputation functions in the future.
Ensuring probabilities of assignment are split evenly under UCB1 ties (bandit.R Line 412-417), instead of relying on a later implicit normalization. This ensures the intended effect with control_augment and random_assign_prop
In simulate_mab(), furrr::furrr_options() is now called with the appropraite furrr_args object instead of ..., which also contains arguments for the user specific time_model.

Other

Show all changes in 1.0.3Hide the rest of the changes in 1.0.3

Introductory vignette updated for 1.x.x release, along with 2 new vignettes planned.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("whatifbandit", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Noch05/whatifbandit")

Development version from Noch05/whatifbandit. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-whatifbandit

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-whatifbandit

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-whatifbandit

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 12.2 min · r-devel-linux-x86_64-debian-clang

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMEYes · 598 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 46 (42 internal)includes a package overview page
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 15%

Vignettes (1)

Introduction to `{whatifbandit HTML

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #20,965 · ~7/day · ~200/mo

Releases R versions

Daily download trend is not available in this view yet.

20930 days

63990 days

2.4K1 year

Compare downloads with other packages →

Also on86 r2u7 autocran

How downloads are counted

Repository

noch05/whatifbandit ↗Account: Noch05

2Stars

1Forks

0Open issues

0Open PRs

5Releases

679Commits

2Commit identities

License file reads as GPL-3.0 · 679 commits · Last activity 2026-08-24 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-11-03 · 12026-07-17 · 2

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/noch05/whatifbandit on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Coverage (1)

Coverage reporting

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

Show all practicesHide 1 practice

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Installing whatifbandit adds 41 packages (23 with compiled code, 34 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.1.0

Imports (13)

bandit clubSandwich data.table dplyr estimatr furrr lubridatemethodspurrr randomizr rlang tibble tidyr

LinkingTo (0)

none

Suggests (8)

forcats future ggplot2 knitr quarto scales stringr testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Noah Ochital

Ryan T. Moore

Contributor, Copyright holder

Releases (3)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-08-24
1.0.3Latest
record
2026-08-24 · current release · diff ↗
archivedRemoved from CRAN
2026-08-22
issues were not corrected in time
1.0.2
record
2026-07-23 · diff ↗ ·
removed 2 exports
multiple_mab_simulation, single_mab_simulation

added 3 exports
joint_test, mab_from_rct, simulate_mab
R
R 4.6.0 released · 2026-04-24
0.3.0
record
2025-11-03
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-11-03
Total releases: 3 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.1.0
Bundled data: 100 KB / 1 file
Download size: 1.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("whatifbandit")

Format

Ochital, N., & Moore, R. T. (2026). whatifbandit: Analyzing Randomized Experiments Using Multi-Arm Bandits (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.whatifbandit

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for whatifbandit version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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