README.md
In giabaio/SWSamp: Computes Sample Size for a Stepped Wedge Design, using Simulation-Based Calculations
SWSamp
SWSamp is a general purpose package to provide a suite of functions for the sample size calculations and power analysis in a Stepped Wedge Trial. Contains functions for closed-form sample size calculation (based on a set of specific models) and simulation-based procedures that can extend the basic framework. A detailed tutorial is available here, while general instructions and references are available here and here.
Installation
SWSamp can be installed running the following code in your R terminal.
install.packages(
"SWSamp",
repos = c(
"https://giabaio.r-universe.dev",
"https://cloud.r-project.org",
"https://inla.r-inla-download.org/R/stable"
)
)
As every other package stored in GitHub, you could use remotes, but we recommend using the r-universe installation, as it is easier to maintain.
giabaio/SWSamp documentation built on June 12, 2025, 8:48 p.m.
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SWSamp
SWSamp is a general purpose package to provide a suite of functions for the sample size calculations and power analysis in a Stepped Wedge Trial. Contains functions for closed-form sample size calculation (based on a set of specific models) and simulation-based procedures that can extend the basic framework. A detailed tutorial is available here, while general instructions and references are available here and here.
Installation
SWSamp can be installed running the following code in your R terminal.
install.packages(
"SWSamp",
repos = c(
"https://giabaio.r-universe.dev",
"https://cloud.r-project.org",
"https://inla.r-inla-download.org/R/stable"
)
)
As every other package stored in GitHub, you could use remotes, but we recommend using the r-universe installation, as it is easier to maintain.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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