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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 Happ ORCID 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.pdf

Downloads:

Package source: pseudorank_1.0.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: pseudorank_1.0.4.zip
macOS binaries: r-devel (arm64): pseudorank_1.0.4.tgz, r-release (arm64): pseudorank_1.0.4.tgz, r-oldrel (arm64): pseudorank_1.0.4.tgz, r-devel (x86_64): 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:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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