steppedwedge: Analyze Data from Stepped Wedge Cluster Randomized Trials
Provide various functions and tools to help fit models for
estimating treatment effects in stepped wedge cluster randomized trials.
Implements methods described in Kenny, Voldal, Xia, and Heagerty (2022)
"Analysis of stepped wedge cluster randomized trials in the presence of a
time-varying treatment effect", <doi:10.1002/sim.9511>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr (≥ 1.0.10), stats (≥ 4.0.0), forcats (≥ 1.0.0), stringr (≥ 1.5.1), magrittr (≥ 2.0.3), methods (≥ 3.6.2), ggplot2 (≥ 3.5.1), lme4 (≥ 1.1.35.5), geepack (≥ 1.3.12), performance (≥ 0.12.4) |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2025-02-21 |
| DOI: |
10.32614/CRAN.package.steppedwedge |
| Author: |
Avi Kenny [aut, cre, cph],
David Arthur [aut],
Yongdong Ouyang [aut] |
| Maintainer: |
Avi Kenny <avi.kenny at gmail.com> |
| BugReports: |
https://github.com/Avi-Kenny/steppedwedge/issues |
| License: |
GPL-3 |
| URL: |
https://avi-kenny.github.io/steppedwedge/,
https://github.com/Avi-Kenny/steppedwedge |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
steppedwedge results |
Documentation:
Downloads:
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