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WMWssp  

Wilcoxon-Mann-Whitney Sample Size Planning
View on CRAN: Click here


Download and install WMWssp package within the R console
Install from CRAN:
install.packages("WMWssp")

Install from Github:
library("remotes")
install_github("cran/WMWssp")

Install by package version:
library("remotes")
install_version("WMWssp", "0.4.0")



Attach the package and use:
library("WMWssp")
Maintained by
Martin Happ
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-19
Latest Update: 2019-07-09
Description:
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.
How to cite:
Martin Happ (2018). WMWssp: Wilcoxon-Mann-Whitney Sample Size Planning. R package version 0.4.0, https://cran.r-project.org/web/packages/WMWssp
Previous versions and publish date:
0.3.2 (2018-02-19 11:24), 0.3.4 (2018-07-08 21:40), 0.3.6 (2019-03-07 06:22), 0.3.7 (2019-03-11 09:42)
Other packages that cited WMWssp R package
View WMWssp citation profile
Other R packages that WMWssp depends, imports, suggests or enhances
Functions, R codes and Examples using the WMWssp R package
Some associated functions: WMWssp . WMWssp_maximize . WMWssp_minimize . WMWssp_noether . 
Some associated R codes: S3methods.R . samplesize.R . utility.R .  Full WMWssp package functions and examples
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