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presize: Precision Based Sample Size Calculation

Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the width of the confidence interval rather the power of a statistical test. The goal of 'presize' is to provide functions for such precision based sample size calculations. For a given sample size, the functions will return the precision (width of the confidence interval), and vice versa.

Version: 0.3.7
Imports: kappaSize (≥ 1.2), shiny
Suggests: binom, dplyr, ggplot2, gt, Hmisc, knitr, magrittr, markdown, rmarkdown, shinydashboard, shinytest, testthat, tidyr
Published: 2023-02-27
DOI: 10.32614/CRAN.package.presize
Author: Armando Lenz [aut], Alan G. Haynes [cre, aut], Andreas Limacher [aut], Odile Stalder [ctb], Marie Roumet [ctb]
Maintainer: Alan G. Haynes <alan.haynes at ctu.unibe.ch>
BugReports: https://github.com/CTU-Bern/presize/issues
License: GPL-3
URL: https://github.com/CTU-Bern/presize, https://ctu-bern.github.io/presize/
NeedsCompilation: no
Citation: presize citation info
Materials: NEWS
In views: ClinicalTrials
CRAN checks: presize results

Documentation:

Reference manual: presize.pdf
Vignettes: presize

Downloads:

Package source: presize_0.3.7.tar.gz
Windows binaries: r-devel: presize_0.3.7.zip, r-release: presize_0.3.7.zip, r-oldrel: presize_0.3.7.zip
macOS binaries: r-release (arm64): presize_0.3.7.tgz, r-oldrel (arm64): presize_0.3.7.tgz, r-release (x86_64): presize_0.3.7.tgz, r-oldrel (x86_64): presize_0.3.7.tgz
Old sources: presize archive

Reverse dependencies:

Reverse imports: PSS.Health

Linking:

Please use the canonical form https://CRAN.R-project.org/package=presize to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.