Package: swCRTdesign 4.0

swCRTdesign: Stepped Wedge Cluster Randomized Trial (SW CRT) Design

A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191. <doi:10.1016/j.cct.2006.05.007>).

Authors:Jim Hughes, Navneet R. Hakhu, Emily Voldal, and Fan Xia

swCRTdesign_4.0.tar.gz
swCRTdesign_4.0.zip(r-4.5)swCRTdesign_4.0.zip(r-4.4)swCRTdesign_4.0.zip(r-4.3)
swCRTdesign_4.0.tgz(r-4.4-any)swCRTdesign_4.0.tgz(r-4.3-any)
swCRTdesign_4.0.tar.gz(r-4.5-noble)swCRTdesign_4.0.tar.gz(r-4.4-noble)
swCRTdesign_4.0.tgz(r-4.4-emscripten)swCRTdesign_4.0.tgz(r-4.3-emscripten)
swCRTdesign.pdf |swCRTdesign.html
swCRTdesign/json (API)

# Install 'swCRTdesign' in R:
install.packages('swCRTdesign', repos = c('https://jphughes9.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8 exports 1 stars 0.61 score 36 dependencies 1 mentions 11 scripts 326 downloads

Last updated 1 years agofrom:59d2b4a9d2. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winNOTEAug 20 2024
R-4.5-linuxNOTEAug 20 2024
R-4.4-winNOTEAug 20 2024
R-4.4-macNOTEAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:blkDiagswDsnswGlmPwrswPlotswPwrswSimswSimPwrswSummary

Dependencies:bootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelme4lmerTestmagrittrMASSMatrixmgcvminqamunsellnlmenloptrnumDerivpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr