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 |
| 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 imports: | PSS.Health |
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