Package: WMWssp 0.5.3

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.

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

WMWssp_0.5.3.tar.gz
WMWssp_0.5.3.zip(r-4.7-any)WMWssp_0.5.3.zip(r-4.6-any)WMWssp_0.5.3.zip(r-4.5-any)
WMWssp_0.5.3.tgz(r-4.6-any)WMWssp_0.5.3.tgz(r-4.5-any)
WMWssp_0.5.3.tar.gz(r-4.7-any)WMWssp_0.5.3.tar.gz(r-4.6-any)
WMWssp_0.5.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WMWssp/json (API)

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

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

On CRAN:

Conda:

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

3.48 score 3 stars 7 scripts 269 downloads 2 mentions 4 exports 0 dependencies

Last updated from:4d6c1184a5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK84
source / vignettesOK146
linux-releaseOK95
macos-releaseOK146
macos-oldrelOK182
windows-develOK68
windows-releaseOK44
windows-oldrelOK63
wasm-releaseOK71

Exports:WMWsspWMWssp_maximizeWMWssp_minimizeWMWssp_noether

Dependencies: