Package: steppedwedge 1.0.0

Avi Kenny

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>.

Authors:Avi Kenny [aut, cre, cph], David Arthur [aut], Yongdong Ouyang [aut]

steppedwedge_1.0.0.tar.gz
steppedwedge_1.0.0.tar.gz(r-4.5-noble)steppedwedge_1.0.0.tar.gz(r-4.4-noble)
steppedwedge_1.0.0.tgz(r-4.4-emscripten)steppedwedge_1.0.0.tgz(r-4.3-emscripten)
steppedwedge.pdf |steppedwedge.html✨
steppedwedge/json (API)
NEWS

# Install 'steppedwedge' in R:
install.packages('steppedwedge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/avi-kenny/steppedwedge/issues

Pkgdown site:https://avi-kenny.github.io

Datasets:

On CRAN:

Conda:

2.70 score 2 scripts 3 exports 53 dependencies

Last updated 17 days agofrom:dc17e5e20f. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-linuxOKFeb 21 2025

Exports:analyzeload_dataplot_design

Dependencies:backportsbayestestRbootbroomclicolorspacecpp11datawizarddplyrfansifarverforcatsgeepackgenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrperformancepillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Basic package workflow

Rendered fromsteppedwedge.Rmdusingknitr::rmarkdownon Feb 21 2025.

Last update: 2025-02-21
Started: 2025-02-21