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: 0.1.3
Imports: ggplot2, kappaSize (≥ 1.2), shiny, shinydashboard
Suggests: binom, Hmisc, testthat
Published: 2020-09-02
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
NeedsCompilation: no
Materials: NEWS
CRAN checks: presize results

Downloads:

Reference manual: presize.pdf
Package source: presize_0.1.3.tar.gz
Windows binaries: r-devel: presize_0.1.3.zip, r-release: presize_0.1.3.zip, r-oldrel: presize_0.1.3.zip
macOS binaries: r-release: presize_0.1.3.tgz, r-oldrel: presize_0.1.3.tgz

Reverse dependencies:

Reverse imports: PSS.Health

Linking:

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