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 |
| 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:
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