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
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:

Reference manual: steppedwedge.pdf
Vignettes: Basic package workflow (source, R code)

Downloads:

Package source: steppedwedge_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=steppedwedge to link to this page.