Package: WMWssp 0.4.0

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.

Authors:Arne C. Bathke [aut], Edgar Brunner [aut], Martin Happ [aut, cre], Frank Konietschke [aut]

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NEWS

# Install 'WMWssp' in R:
install.packages('WMWssp', repos = c('https://happma.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/happma/wmwssp/issues

On CRAN:

nonparametric-statisticoptimal-designsample-size-calculationwilcoxon-mann-whitney-test

3.30 score 2 stars 9 scripts 68 downloads 2 mentions 4 exports 0 dependencies

Last updated 5 years agofrom:3276393524. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:WMWsspWMWssp_maximizeWMWssp_minimizeWMWssp_noether

Dependencies: