Package: swdpwr 1.12

swdpwr: Power Calculation for Stepped Wedge Cluster Randomized Trials

To meet the needs of statistical power calculation for stepped wedge cluster randomized trials, we developed this software. Different parameters can be specified by users for different scenarios, including: cross-sectional and cohort designs, binary and continuous outcomes, marginal (GEE) and conditional models (mixed effects model), three link functions (identity, log, logit links), with and without time effects (the default specification assumes no-time-effect) under exchangeable, nested exchangeable and block exchangeable correlation structures. Unequal numbers of clusters per sequence are also allowed. The methods included in this package: Zhou et al. (2020) <doi:10.1093/biostatistics/kxy031>, Li et al. (2018) <doi:10.1111/biom.12918>. Supplementary documents can be found at: <https://ysph.yale.edu/cmips/research/software/study-design-power-calculation/swdpwr/>. The Shiny app for swdpwr can be accessed at: <https://jiachenchen322.shinyapps.io/swdpwr_shinyapp/>. The package also includes functions that perform calculations for the intra-cluster correlation coefficients based on the random effects variances as input variables for continuous and binary outcomes, respectively.

Authors:Jiachen Chen [cre, aut], Xin Zhou [aut], Fan Li [aut], Donna Spiegelman. [aut]

swdpwr_1.12.tar.gz
swdpwr_1.12.zip(r-4.7)swdpwr_1.12.zip(r-4.6)swdpwr_1.12.zip(r-4.5)
swdpwr_1.12.tgz(r-4.6-x86_64)swdpwr_1.12.tgz(r-4.6-arm64)swdpwr_1.12.tgz(r-4.5-x86_64)swdpwr_1.12.tgz(r-4.5-arm64)
swdpwr_1.12.tar.gz(r-4.7-arm64)swdpwr_1.12.tar.gz(r-4.7-x86_64)swdpwr_1.12.tar.gz(r-4.6-arm64)swdpwr_1.12.tar.gz(r-4.6-x86_64)
swdpwr_1.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
swdpwr/json (API)

# Install 'swdpwr' in R:
install.packages('swdpwr', repos = c('https://jiachenchen322.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

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

fortran

1.00 score 10 scripts 293 downloads 3 exports 9 dependencies

Last updated from:a9628426ca. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK127
source / vignettesOK155
linux-release-arm64OK126
linux-release-x86_64OK122
macos-release-arm64OK137
macos-release-x86_64OK171
macos-oldrel-arm64OK151
macos-oldrel-x86_64OK285
windows-develOK153
windows-releaseOK120
windows-oldrelOK112
wasm-releaseOK97

Exports:BinICCContICCswdpower

Dependencies:deldirlatticeMatrixpolyclipspatstat.dataspatstat.geomspatstat.randomspatstat.univarspatstat.utils