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stepwedgepower
View on CRAN: Click
here
Download and install stepwedgepower package within the R console
Install from CRAN:
install.packages("stepwedgepower")
Install from Github:
library("remotes")
install_github("cran/stepwedgepower") Install by package version:
library("remotes")
install_version("stepwedgepower", "0.1.3") Attach the package and use:
library("stepwedgepower")
Maintained by
Lin (Amanda) Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-14
Latest Update: 2026-07-13
Description:
Provides reusable functions for aggregated cluster-period data, mixed-effects analysis, and simulation-based power and type I error evaluation in stepped-wedge cluster randomized trials. The design and mixed-effects analysis follow Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>. Intraclass correlations for binary outcomes are converted to logistic-normal random-intercept standard deviations following Eldridge, Ukoumunne and Carlin (2009) <doi:10.1111/j.1751-5823.2009.00092.x>. Monte Carlo uncertainty in estimated power is summarized using the exact binomial interval of Clopper and Pearson (1934) <doi:10.1093/biomet/26.4.404>. The simulation engine supports sequence-specific baseline risks, cluster random effects, direct intraclass-correlation specification, Monte Carlo uncertainty intervals, and model-fitting diagnostics. Applied physician and specialty helpers are retained for backward compatibility and for an example health-services workflow.
How to cite:
Lin (Amanda) Li (2026). stepwedgepower: Stepped-Wedge Clinical Trial Analysis and Power Simulation. R package version 0.1.3, https://cran.r-project.org/web/packages/stepwedgepower. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-14 01:00), 0.1.0 (2026-07-10 22:50)
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