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>
License: GPL-3
NeedsCompilation: no
Citation: presize citation info
Materials: NEWS
In views: ClinicalTrials
CRAN checks: presize results


Reference manual: presize.pdf
Vignettes: presize


Package source: presize_0.3.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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