rollout: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials

Provides a unified framework for designing, simulating, and analyzing implementation rollout trials, including stepped wedge, sequential rollout, head-to-head, multi-condition, and rollout implementation optimization designs. The package enables users to flexibly specify rollout schedules, incorporate site-level and nested data structures, generate outcomes under rich hierarchical models, and evaluate analytic strategies through simulation-based power analysis. By separating data generation from model fitting, the tools support assessment of bias, Type I error, and robustness to model misspecification. The workflow integrates with standard mixed-effects modeling approaches and the tidyverse ecosystem, offering transparent and reproducible tools for implementation scientists and applied statisticians.

Version:	0.1.0
Depends:	R (≥ 4.5.0)
Imports:	broom.mixed, dplyr, glue, lifecycle, parallel, pbapply, purrr, rlang, stats, tidyr
Suggests:	lme4, lmerTest, testthat (≥ 3.0.0), tibble
Published:	2026-01-13
DOI:	10.32614/CRAN.package.rollout (may not be active yet)
Author:	Ian Cero [aut, cre], C. Hendricks Brown [aut]
Maintainer:	Ian Cero <ian_cero at urmc.rochester.edu>
BugReports:	https://github.com/iancero/rollout/issues
License:	MIT + file LICENSE
URL:	https://github.com/iancero/rollout, https://iancero.github.io/rollout/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	rollout results

Documentation:

Reference manual:

rollout.html , rollout.pdf

Downloads:

Package source:	rollout_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): rollout_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): rollout_0.1.0.tgz, r-oldrel (x86_64): not available

Linking:

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