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 9 scripts 331 downloads 2 mentions 4 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK158
linux-release-x86_64OK115
macos-release-arm64OK125
macos-oldrel-arm64OK174
windows-develOK58
windows-releaseOK79
windows-oldrelOK59
wasm-releaseOK99

Exports:WMWsspWMWssp_maximizeWMWssp_minimizeWMWssp_noether

Dependencies: