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:	0.3.1
Imports:	kappaSize (≥ 1.2), shiny
Suggests:	binom, dplyr, ggplot2, gt, Hmisc, knitr, magrittr, markdown, rmarkdown, shinydashboard, shinytest, testthat, tidyr
Published:	2022-03-03
Author:	Armando Lenz [aut], Alan G. Haynes [cre, aut], Andreas Limacher [aut], Odile Stalder [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_0.3.1.tar.gz
Windows binaries:	r-devel: presize_0.3.1.zip, r-release: presize_0.3.1.zip, r-oldrel: presize_0.3.1.zip
macOS binaries:	r-release (arm64): presize_0.3.1.tgz, r-oldrel (arm64): presize_0.3.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): presize_0.3.1.tgz
Old sources:	presize archive

Reverse dependencies:

Reverse imports:

PSS.Health

Linking:

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