WMWssp (0.4.0)

0 users

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.

Maintainer: Martin Happ
Author(s): Arne C. Bathke [aut], Edgar Brunner [aut], Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>), Frank Konietschke [aut]

License: GPL-3

Uses: testthat

Released 11 months ago.

4 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of WMWssp yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for WMWssp on google, google scholar, r-help, r-devel.

Visit WMWssp on R Graphical Manual.