WMWssp: Wilcoxon-Mann-Whitney Sample Size Planning

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 [aut, cre], Frank Konietschke [aut]
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

Documentation:

Reference manual:

WMWssp.pdf

Downloads:

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): WMWssp_0.5.3.tgz, r-release (arm64): WMWssp_0.5.3.tgz, r-oldrel (arm64): WMWssp_0.5.3.tgz, 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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