Calculates the minimal sample size for the Wilcoxon-Mann-Whitney test that is needed for a given power and two sided type I error rate. The method works for metric data with and without ties, count data, ordered categorical data, and even dichotomous data. But data is needed for the reference group to generate synthetic data for the treatment group based on a relevant effect. See Happ et al. (2019, <doi:10.1002/sim.7983>) for details.
Version: | 0.5.3 |
Depends: | R (≥ 3.4.0) |
Suggests: | testthat |
Published: | 2025-02-18 |
DOI: | 10.32614/CRAN.package.WMWssp |
Author: | Arne C. Bathke [aut],
Edgar Brunner [aut],
Martin Happ |
Maintainer: | Martin Happ <statistics at happ.co.at> |
BugReports: | https://github.com/happma/WMWssp/issues |
License: | GPL-3 |
URL: | https://github.com/happma/WMWssp |
NeedsCompilation: | no |
Citation: | WMWssp citation info |
Materials: | README NEWS |
CRAN checks: | WMWssp results |
Reference manual: | WMWssp.pdf |
Package source: | WMWssp_0.5.3.tar.gz |
Windows binaries: | r-devel: WMWssp_0.5.3.zip, r-release: WMWssp_0.5.3.zip, r-oldrel: WMWssp_0.5.3.zip |
macOS binaries: | r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): WMWssp_0.5.3.tgz, r-release (x86_64): WMWssp_0.5.3.tgz, r-oldrel (x86_64): WMWssp_0.5.3.tgz |
Old sources: | WMWssp archive |
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