pseudorank: Pseudo-Ranks

Efficient calculation of pseudo-ranks. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. 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.

Version: 0.2.6
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 0.12.16), doBy
LinkingTo: Rcpp
Suggests: testthat
Published: 2018-07-24
Author: Martin Happ ORCID iD [aut, cre], Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut]
Maintainer: Martin Happ <martin.happ at aon.at>
BugReports: http://github.com/happma/pseudorank/issues
License: GPL-3
URL: http://github.com/happma/pseudorank
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: pseudorank results

Downloads:

Reference manual: pseudorank.pdf
Package source: pseudorank_0.2.6.tar.gz
Windows binaries: r-devel: pseudorank_0.2.6.zip, r-release: pseudorank_0.2.6.zip, r-oldrel: pseudorank_0.2.6.zip
OS X binaries: r-release: pseudorank_0.2.6.tgz, r-oldrel: pseudorank_0.2.6.tgz
Old sources: pseudorank archive

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