Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials R package rollout version 0.1.0 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. Software 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 Ian Cero <ian_cero@urmc.rochester.edu> Comprehensive R Archive Network (CRAN) Ian Cero [aut, cre] (ORCID: <https://orcid.org/0000-0002-2862-0450>), C. Hendricks Brown [aut] (ORCID: <https://orcid.org/0000-0002-0294-2419>) MIT + file LICENSE (https://CRAN.R-project.org/package=rollout/LICENSE) 2026-01-13 application/tgz https://CRAN.R-project.org/package=rollout doi:10.32614/CRAN.package.rollout