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-x86_64)swdpwr_1.12.zip(r-4.7-arm64)swdpwr_1.12.zip(r-4.6-x86_64)swdpwr_1.12.zip(r-4.6-arm64)swdpwr_1.12.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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.

fortranglibc

1.00 score 10 scripts 411 downloads 3 exports 12 dependencies

Last updated from:a9628426ca. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK107
source / vignettesOK161
linux-release-arm64OK125
linux-release-x86_64OK122
macos-release-arm64OK118
macos-release-x86_64OK230
macos-oldrel-arm64OK126
macos-oldrel-x86_64OK299
windows-devel-arm64OK361
windows-devel-x86_64OK141
windows-release-arm64WARNING326
windows-release-x86_64OK119
windows-oldrel-x86_64OK102
wasm-releaseOK87

Exports:BinICCContICCswdpower

Dependencies:abinddeldirlatticeMatrixpolyclipspatstat.dataspatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensor