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pseudorank: Pseudo-Ranks

Efficient calculation of pseudo-ranks and (pseudo)-rank based test statistics. 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. See Happ et al. (2020, <doi:10.18637/jss.v095.c01>) for details.

Version:1.0.4
Depends:R (≥ 3.5.0)
Imports:Rcpp (≥ 0.12.16),doBy
LinkingTo:Rcpp
Suggests:testthat
Published:2025-02-20
DOI:10.32614/CRAN.package.pseudorank
Author:Martin HappORCID iD [aut, cre], Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut]
Maintainer:Martin Happ <statistics at happ.co.at>
BugReports:https://github.com/happma/pseudorank/issues/
License:GPL-3
URL:https://github.com/happma/pseudorank/
NeedsCompilation:yes
Citation:pseudorank citation info
Materials:README,NEWS
CRAN checks:pseudorank results

Documentation:

Reference manual:pseudorank.html ,pseudorank.pdf

Downloads:

Package source: pseudorank_1.0.4.tar.gz
Windows binaries: r-devel:pseudorank_1.0.4.zip, r-release:pseudorank_1.0.4.zip, r-oldrel:pseudorank_1.0.4.zip
macOS binaries: r-release (arm64):pseudorank_1.0.4.tgz, r-oldrel (arm64):pseudorank_1.0.4.tgz, r-release (x86_64):pseudorank_1.0.4.tgz, r-oldrel (x86_64):pseudorank_1.0.4.tgz
Old sources: pseudorank archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pseudorankto link to this page.


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