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 [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: 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 form https://CRAN.R-project.org/package=pseudorank to link to this page.
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