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swdpwr
View on CRAN: Click
here
Download and install swdpwr package within the R console
Install from CRAN:
install.packages("swdpwr")
Install from Github:
library("remotes")
install_github("cran/swdpwr") Install by package version:
library("remotes")
install_version("swdpwr", "1.11") Attach the package and use:
library("swdpwr")
Maintained by
Jiachen Chen
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-26
Latest Update: 2024-10-08
Description:
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 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/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.
How to cite:
Jiachen Chen (2020). swdpwr: Power Calculation for Stepped Wedge Cluster Randomized Trials. R package version 1.11, https://cran.r-project.org/web/packages/swdpwr. Accessed 04 Jun. 2026.
Previous versions and publish date:
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Complete documentation for swdpwr
Functions, R codes and Examples using
the swdpwr R package
Some associated functions: BinICC . ContICC . print.swdpower . swdpower . swdpwr-package .
Some associated R codes: BinICC.R . ContICC.R . print.swdpower.R . swdpower.R . Full swdpwr package functions and examples
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