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. For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.

Version: 0.3.4
Depends: R (≥ 3.4.0)
Imports: rankFD
Suggests: testthat
Published: 2018-07-08
Author: Arne C. Bathke [aut], Edgar Brunner [aut], Martin Happ ORCID iD [aut, cre], Frank Konietschke [aut]
Maintainer: Martin Happ <martin.happ at aon.at>
BugReports: http://github.com/happma/WMWssp/issues
License: GPL-3
URL: http://github.com/happma/WMWssp
NeedsCompilation: no
Citation: WMWssp citation info
Materials: README
CRAN checks: WMWssp results


Reference manual: WMWssp.pdf
Package source: WMWssp_0.3.4.tar.gz
Windows binaries: r-devel: WMWssp_0.3.4.zip, r-release: WMWssp_0.3.4.zip, r-oldrel: WMWssp_0.3.4.zip
OS X binaries: r-release: WMWssp_0.3.4.tgz, r-oldrel: WMWssp_0.3.4.tgz
Old sources: WMWssp archive


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