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.

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Description file content

Package
WMWssp
Type
Package
Title
Wilcoxon-Mann-Whitney Sample Size Planning
Version
0.4.0
Date
2019-07-09
Maintainer
Martin Happ
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.
Depends
R (>= 3.4.0)
License
GPL-3
LazyData
TRUE
URL
BugReports
http://github.com/happma/WMWssp/issues
RoxygenNote
6.1.1
Suggests
testthat
NeedsCompilation
no
Packaged
2019-07-09 09:13:37 UTC; Martin
Author
Arne C. Bathke [aut], Edgar Brunner [aut], Martin Happ [aut, cre] (), Frank Konietschke [aut]
Repository
CRAN
Date/Publication
2019-07-09 10:00:03 UTC

install.packages('WMWssp')

0.4.0

9 days ago

http://github.com/happma/WMWssp

Martin Happ

GPL-3

Depends on

R (>= 3.4.0)

Suggests

testthat

Discussions