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 <doi:10.18637/jss.v095.c01>.

Version: 1.0.1
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 0.12.16), doBy
LinkingTo: Rcpp
Suggests: testthat
Published: 2020-10-02
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: https://github.com/happma/pseudorank/issues/
License: GPL-3
URL: https://github.com/happma/pseudorank/
NeedsCompilation: yes
SystemRequirements: C++11
Citation: pseudorank citation info
Materials: README NEWS
CRAN checks: pseudorank results

Downloads:

Reference manual: pseudorank.pdf
Package source: pseudorank_1.0.1.tar.gz
Windows binaries: r-devel: pseudorank_1.0.1.zip, r-release: pseudorank_1.0.1.zip, r-oldrel: pseudorank_1.0.1.zip
macOS binaries: r-release: pseudorank_1.0.1.tgz, r-oldrel: pseudorank_1.0.1.tgz
Old sources: pseudorank archive

Reverse dependencies:

Reverse imports: HRM

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