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CRTSize  

Sample Size Estimation Functions for Cluster Randomized Trials
View on CRAN: Click here


Download and install CRTSize package within the R console
Install from CRAN:
install.packages("CRTSize")

Install from Github:
library("remotes")
install_github("cran/CRTSize")

Install by package version:
library("remotes")
install_version("CRTSize", "1.2")



Attach the package and use:
library("CRTSize")
Maintained by
Michael A Rotondi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-02-03
Latest Update: 2023-02-22
Description:
Sample size estimation in cluster (group) randomized trials. Contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).
How to cite:
Michael A Rotondi (2011). CRTSize: Sample Size Estimation Functions for Cluster Randomized Trials. R package version 1.2, https://cran.r-project.org/web/packages/CRTSize. Accessed 31 Oct. 2026.
Previous versions and publish date:
0.2 (2011-02-03 21:43), 0.3 (2013-12-18 18:39), 0.4 (2015-02-02 23:10), 1.0 (2015-04-14 16:28), 1.1 (2022-10-12 16:02), (2026-07-09 08:00)
Other packages that cited CRTSize R package
View CRTSize citation profile
Other R packages that CRTSize depends, imports, suggests or enhances
Complete documentation for CRTSize
Functions, R codes and Examples using the CRTSize R package
Some associated functions: fixedMetaAnalMD . fixedMetaAnalRROR . n4incidence . n4means . n4meansEB . n4meansMeta . n4props . n4propsEB . n4propsMeta . 
Some associated R codes: FixedmetaAnalMD.R . FixedmetaAnalRROR.R . n4incidence.R . n4means.R . n4meansEB.R . n4meansMeta.R . n4props.R . n4propsEB.R . n4propsMeta.R .  Full CRTSize package functions and examples
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